The aim of this study is to develop and assess the peg transfer training module face, content and construct validation use of the box, virtual reality (VR), cognitive virtual reality (CVR), augmented reality (AR), and mixed reality (MR) trainer, thereby to compare advantages and disadvantages of these simulators. Training system (VatsSim-XR) design includes customized haptic-enabled thoracoscopic instruments, virtual reality helmet set, endoscope kit with navigation, and the patient-specific corresponding training environment. A cohort of 32 trainees comprising 24 novices and 8 experts underwent the real and virtual simulators that were conducted in the department of thoracic surgery of Yunnan First People's Hospital. Both subjective and objective evaluations have been developed to explore the visual and haptic potential promotions in peg transfer education. Experiments and evaluation results conducted by both professional and novice thoracic surgeons show that the surgery skills from experts are better than novices overall, AR trainer is able to provide a more balanced training environments on visuohaptic fidelity and accuracy, box trainer and MR trainer demonstrated the best realism 3D perception and surgical immersive performance, respectively, and CVR trainer shows a better clinic effect that the traditional VR trainer. Combining these in a systematic approach, tuned with specific fidelity requirements, medical simulation systems would be able to provide a more immersive and effective training environment.
Ecosystem degradation is a major cause of poverty, and poverty further aggravates ecosystem degradation through a feedback known as the 'poverty trap' that can prevent sustainable socioeconomic development in ecologically fragile areas. However, most ecological restoration programmes have failed to improve the lives of residents of the targeted areas because planners failed to understand the driving forces behind the poverty trap. Finding the threshold conditions for the poverty trap, which represent the conditions when the current state of a system changes to a new and inferior state, can help managers to avoid triggering the poverty trap in ecologically fragile areas. To avoid crossing the threshold, it's necessary to understand the driving mechanisms responsible for the poverty trap so that managers can break the vicious cycle that undermines the effectiveness of ecological restoration. China's ecological restoration has shown that integrating ecological restoration with measures that provide a sustainable livelihood for residents of programme areas can achieve the win-win goal of ecological restoration and poverty alleviation. We found preliminary evidence that there is an income threshold for the poverty trap, and that raising incomes above this level may help residents of restoration areas escape the trap. The examples described in this paper provide valuable guidance for other countries that must achieve similar goals.
To protect the global ecological environment and prevent threats to human safety and property, nations around the world have invested heavily in ecological restoration programmes. However, we do not know whether these investments have been repaid by the resultant benefits. To answer this question, we developed an improved method of quantifying costs and benefits that accounts for more of the costs associated with ecological restoration, thereby letting us calculate the net benefit. To demonstrate this method, we analysed the Grain for Green Program (GGP), which is the world's largest ecological restoration programme. We found that the increase in net benefits amounted to a total of 530.1 × 109 RMB/year in 2017. However, 11 of China's 25 provinces have incurred net losses due to high cost increases and low increases in benefits under the GGP. Synthesis and applications. Because compensation payments to farmers and herders whose livelihoods were disrupted by implementation of the Grain for Green Program only accounted for 0.8% of the programme's cost, improving compensation payments will be essential to its success. Assessing Grain for Green Program the largest ecological restoration programme in the world will provide guidance for ecological protection and restoration policies around the world.
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