Objective. To survey the application of PDCA (plan, do, check, and action) process management in day operation ward and the influence of nursing quality and safety. Methods. The routine nursing management was carried out in our hospital from March 2019 to March 2020, which was set as the control group ( N = 20 ), and the PDCA process management was implemented from March 2020 to March 2021 as the research group ( N = 20 ). Twenty nurses and patients were selected as subjects in two periods of time. The nursing quality, the score of individual quality control examination in clinical department, the nursing quality of operating room, the incidence of adverse events and nursing errors, the number of problems existing in the quality management of nursing documents, and the score of nursing satisfaction were accessed. Results. In the comparison of nursing quality, the nursing safety, specialty quality, and nursing norms of the study group were higher compared to the control ( P < 0.05 ). In terms of the scores of individual quality control examination in clinical departments, the scores of ward management, rescue, therapeutic articles, drug management, first-level nursing, nursing documents, and head nurses in the study group were greater compared to the control ( P < 0.05 ). In terms of the operating room nursing quality score, the instrument management, instrument preparation, nurses’ cooperation skills, disinfection and isolation quality, and the total score of the study group were above the control ( P < 0.05 ). In terms of the incidence of operative adverse events and nursing errors, the incidence of nosocomial infection, iatrogenic injury, information check error, equipment failure, violation of operation regulations, ECG monitoring error, infusion operation error, and medication error in the study group was lower compared to the control ( P < 0.05 ). According to the comparison of the number of problems existing in the quality management of nursing documents, the number of problems in temperature sheet, medical order, evaluation sheet, nursing record, and other nursing documents in the study group was lower than the control ( P < 0.05 ). The scores of nursing communication, professional technology, nursing service attitude, nursing environment, and knowledge education in the study group were higher in contrast to the control ( P < 0.05 ). Conclusion. The application of PDCA management can effectively enhance the nursing quality and safety of the day operation ward, further facilitate the quality of hospital nursing work, and improve patient satisfaction, which exert great potential, and application value in the management of day ward in the future.

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Tactile sensing plays an important role for robots’ perception, but the existing tactile technologies have multiple limitations. Visual-tactile sensor (VTS) is a newly developed tactile detector; it perceives the contacting surface shape, or even more refined texture, by way of the contact deformation image captured by a camera. A conventional visual perception is usually formulated as a data processing. It suffers issues of cumbersome training set and complicated calibration procedures. A novel model-based depth perceptual scheme is proposed where a mapping from the image intensity to the contact geometry is mathematically formulated with an associated tailored fast solver. The hardware calibration requires single image only, leading to an outstanding algorithmic robustness. The non-uniformity of the illumination condition is embodied by the stereo model, resulting in a robust depth perception precision. Compression tests on a prototype VTS showed the method’s capability in high-quality geometry reconstruction. Both contacting shape and texture were captured at a root-mean-square error down to a sub-millimeter level. The feasibility of the proposed in a pose estimation application is further experimentally validated. The associated tests yielded estimation errors that were all less than 3° in terms of spatial orientation and all less than 1mm in terms of translation.

When applying the non-parallel shear zone model to predict the cutting process parameters of carbon steel workpiece, it is found that there is a big error between the prediction results and the experimental values. And also, the former approach to obtain the relevant cutting parameters of the non-parallel shear zone model by applying coordinate transformation to the parallel shear zone model has a theoretical error – it erroneously regards the determinant (|J|) of the Jacobian matrix (J) in the coordinate transformation as a constant. The shape of the shear zone obtained when |J| is not constant is drew and it is found that the two boundaries of the shear zone are two slightly curved surfaces rather than two inclined planes. Also, the error between predicted values and experimental values of cutting force and cutting thrust is slightly smaller than that of constant |J|. A corrected model where |J| is a variable is proposed. Since the specific values of inclination of the shear zone (α, β), the thickness coefficient of the shear zone (as) and the constants related to the material (f0, p) are not given in the former work, a method to obtain the above-mentioned five constants by solving multivariable constrained optimization problem based on experimental data was also proposed; based on the obtained experimental data of AISI 1045 steel workpiece cutting force, cutting thrust, chip thickness, the results of five above-mentioned model constants are obtained. It is found that, compared with prediction from uncorrected model, the cutting force and cutting thrust of AISI 1045 steel predicted by the corrected model with the obtained constants has a better agreement with the experimental values obtained by Ivester.