Effects of Dual-Perspective Nursing Intervention Based on Safety and Comfort Needs on Psychological Status and Safety Quality of MRI Patients

Objective:To investigate the effect of dualperspective nursing intervention based on safety and comfort needs on the psychological status and safety quality of patients undergoing magnetic resonance imaging(MRI).Methods:A total of 100 patients who received MRI in our hospital from October 2017 to December 2019 were selected and randomly divided into two groups,50 cases for each group.Routine nursing intervention was performed in the control group,and double-perspective nursing intervention based on safety and comfort needs in addition to routine nursing was performed in the observation group.Psychological status and examination of safety quality were observed and compared between the two groups.Results:The scores of self-rating anxiety scale(SAS)and self-rating depression scale(SDS)in the observation group were lower than those in the control group after intervention.Meanwhile,the scores of early treatment of dangerous conditions,implementation of safety measures,prevention of accidental injuries,communication of safety information,education of safety knowledge,standardized examination and awareness of self-safety management in the observation group were higher than those in the control group after intervention,and the differences were statistically significant(P<0.05).Conclusion:Dual-perspective nursing intervention based on safety and comfort needs is effective for patients undergoing MRI examination,which can improve the psychological status of patients and improve the quality of examination safety.

Evaluation of operator visibility in three different cabins type Far-East combine harvesters

The purpose of this study was to develop and evaluate a visibility evaluation system for the cabin type Far-East combine harvester.The human field of view has been classified into five levels(perceptive,effective,stable gaze,induced,and auxiliary)depending on the rotation of the human head and eye.The divider,reaper lever,gearshift,dashboard,and conveying component were considered as major viewpoints of the cabin type Far-East combine harvester.The visibility of the cabin type Far-East combine harvester was evaluated quantitatively using viewpoints and human field of view levels.The visibility evaluation system for the cabin type Far-East combine harvester consisted of a laser pointer,stepping motors to control the directions of the view,gyro sensors to measure horizontal and vertical angles,and I/O interface to acquire the signals.The visibility evaluation tests were conducted at different postures(‘sitting straight’,‘sitting with a 15°tilt’,‘standing straight’,and‘standing with a 15°tilt’)for three cabin type Far-East combine harvesters.The LSD(least significant difference)multiple comparison tests showed that the visibilities of viewpoints differed significantly as the operator's posture changed.The results showed that the posture while standing with a 15°tilt provided the best visibility.The average visibility scores at sitting postures were 22.3(straight)and 24.4(15°tilt),and the scores at standing postures were 18.7(straight)and 29.5(15°tilt).Also,the average visibility scores were observed in order from highest to lowest as reaper lever(44.6),divider(28.7),dashboard(23.1),conveying part(12.2),and gearshift lever(10.1).Most viewpoints of the cabin type Far-East combine harvester were out of the stable gaze field of the view level.Modifications of the cabin type Far-East combine harvester design will be required to enhance the visibility during harvesting operation and to improve safety and convenience of farmers.

Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle

Purpose–This study aims to evaluate the influence of connected and autonomous vehicle(CAV)merging algorithms on the driver behavior of human-driven vehicles on the mainline.Design/methodology/approach–Previous studies designed their merging algorithms mostly based on either the simulation or the restricted field testing,which lacks consideration of realistic driving behaviors in the merging scenario.This study developed a multi-driver simulator system to embed realistic driving behavior in the validation of merging algorithms.Findings–Four types of CAV merging algorithms were evaluated regarding their influences on driving safety and driving comfort of the mainline vehicle platoon.The results revealed significant variation of the algorithm influences.Specifically,the results show that the reference-trajectory-based merging algorithm may outperform the social-psychology-based merging algorithm which only considers the ramp vehicles.Originality/value–To the best of the authors’knowledge,this is the first time to evaluate a CAV control algorithm considering realistic driver interactions rather than by the simulation.To achieve the research purpose,a novel multi-driver driving simulator was developed,which enables multi-drivers to simultaneously interact with each other during a virtual driving test.The results are expected to have practical implications for further improvement of the CAV merging algorithm.