Objective:This paper presents an analysis of the concept of patient outcomes.Methods:The present study conducted searches on various databases,including Wanfang,Sinomed,CNKI,Pub Med,Cochrane Library,Embase,Web of Scie...Objective:This paper presents an analysis of the concept of patient outcomes.Methods:The present study conducted searches on various databases,including Wanfang,Sinomed,CNKI,Pub Med,Cochrane Library,Embase,Web of Science,and Ovid.The paper followed the Walker and Avant concept-analysis approach.Results:Initially,899 pieces of literature were identified through the search process,and after screening,41 of them were ultimately included in the analysis.The identified attributes of the concept included(1)capability,(2)decision making,and(3)action.These antecedents were shaped by factors such as illness perception,self-efficacy,and family and social.The consequences included(1)physiological effects,(2)psychological effects,and(3)social influence.Conclusions:The concept analysis of self-management in patients with diabetic foot ulcers(DFUs)not only aids in clinical practice and suppor ts interventions,but also contributes to the development of self-management theory.The common goal of clinical medical staff is to assist DFU patients in improving cognitive ability,making correct self-management decisions,and enhancing self-management behavior.展开更多
Visual tracking is an important area in computer vision. How to deal with illumination and occlusion problems is a challenging issue. This paper presents a novel and efficient tracking algorithm to handle such problem...Visual tracking is an important area in computer vision. How to deal with illumination and occlusion problems is a challenging issue. This paper presents a novel and efficient tracking algorithm to handle such problems. On one hand, a target＇s initial appearance always has clear contour, which is light-invariant and robust to illumination change. On the other hand, features play an important role in tracking, among which convolutional features have shown favorable performance. Therefore, we adopt convolved contour features to represent the target appearance. Generally speaking, first-order derivative edge gradient operators are efficient in detecting contours by convolving them with images. Especially, the Prewitt operator is more sensitive to horizontal and vertical edges, while the Sobel operator is more sensitive to diagonal edges. Inherently, Prewitt and Sobel are complementary with each other. Technically speaking, this paper designs two groups of Prewitt and Sobel edge detectors to extract a set of complete convolutional features, which include horizontal, vertical and diagonal edges features. In the first frame, contour features are extracted from the target to construct the initial appearance model. After the analysis of experimental image with these contour features, it can be found that the bright parts often provide more useful information to describe target characteristics. Therefore, we propose a method to compare the similarity between candidate sample and our trained model only using bright pixels, which makes our tracker able to deal with partial occlusion problem. After getting the new target, in order to adapt appearance change, we propose a corresponding online strategy to incrementally update our model. Experiments show that convolutional features extracted by well-integrated Prewitt and Sobel edge detectors can be eff^cient enough to learn robust appearance model. Numerous experimental results on nine challenging sequences show that our proposed approach is very effective and robust in comparison with the state-of-the-art trackers.展开更多
Wear properties of the nonhydrogenated, hydrogenated 0.5 wt%, and dehydrogenated Ti6Al4V alloys were studied through dry sliding wear tests using an M-200 type pin-on-disk wear testing machine in ambient air at room t...Wear properties of the nonhydrogenated, hydrogenated 0.5 wt%, and dehydrogenated Ti6Al4V alloys were studied through dry sliding wear tests using an M-200 type pin-on-disk wear testing machine in ambient air at room temperature to reveal the effects of hydrogen on wear properties of Ti6Al4V alloy. Morphology and chemical element of worn surface were investigated by means of scanning electron microscope （SEM） and energy dispersive spectroscopy （EDS）. Results show that hydrogen decreases the wear resistance of Ti6Al4V alloy. Wear rate of the Ti6Al4V alloy increases after hydrogenation. Wear rate increases by 244.3 % when 0.5 wt% hydrogen is introduced into a Ti6Al4V alloy. Wear rate of the dehydrogenated Ti6Al4V alloy recovers. Wear mechanisms of the nonhydrogenated, hydrogenated, and dehydrogenated Ti6Al4V alloys are determined. The nonhydrogenated Ti6Al4V alloy is controlled by oxidative wear. The hydrogenated Ti6Al4V alloy is dominated by abrasive wear. Wear mechanism of the dehydrogenated Ti6Al4V alloys is a mixture of oxidative wear and abrasive wear.展开更多
基金supported by the Health Science and Technology Project of Pudong New Area Health Commission(No.PW2023A-09)the Academic Leaders Training Program of Pudong Health Bureau of Shanghai(No.PWRd2022-16)+1 种基金Tongji University“Third Year Action Plan for Discipline Construction of School of Nursing”(No.JS2210328)Important Weak Subject Construction Project of Shanghai Pudong New Area Health Commission(No.PWZbr2022-04)。
文摘Objective:This paper presents an analysis of the concept of patient outcomes.Methods:The present study conducted searches on various databases,including Wanfang,Sinomed,CNKI,Pub Med,Cochrane Library,Embase,Web of Science,and Ovid.The paper followed the Walker and Avant concept-analysis approach.Results:Initially,899 pieces of literature were identified through the search process,and after screening,41 of them were ultimately included in the analysis.The identified attributes of the concept included(1)capability,(2)decision making,and(3)action.These antecedents were shaped by factors such as illness perception,self-efficacy,and family and social.The consequences included(1)physiological effects,(2)psychological effects,and(3)social influence.Conclusions:The concept analysis of self-management in patients with diabetic foot ulcers(DFUs)not only aids in clinical practice and suppor ts interventions,but also contributes to the development of self-management theory.The common goal of clinical medical staff is to assist DFU patients in improving cognitive ability,making correct self-management decisions,and enhancing self-management behavior.
基金This paper is supported by the National Natural Science Foundation of China under Grant No. 61472289 and the National Key Research and Development Project of China under Grant No. 2016YFC0106305.
文摘Visual tracking is an important area in computer vision. How to deal with illumination and occlusion problems is a challenging issue. This paper presents a novel and efficient tracking algorithm to handle such problems. On one hand, a target＇s initial appearance always has clear contour, which is light-invariant and robust to illumination change. On the other hand, features play an important role in tracking, among which convolutional features have shown favorable performance. Therefore, we adopt convolved contour features to represent the target appearance. Generally speaking, first-order derivative edge gradient operators are efficient in detecting contours by convolving them with images. Especially, the Prewitt operator is more sensitive to horizontal and vertical edges, while the Sobel operator is more sensitive to diagonal edges. Inherently, Prewitt and Sobel are complementary with each other. Technically speaking, this paper designs two groups of Prewitt and Sobel edge detectors to extract a set of complete convolutional features, which include horizontal, vertical and diagonal edges features. In the first frame, contour features are extracted from the target to construct the initial appearance model. After the analysis of experimental image with these contour features, it can be found that the bright parts often provide more useful information to describe target characteristics. Therefore, we propose a method to compare the similarity between candidate sample and our trained model only using bright pixels, which makes our tracker able to deal with partial occlusion problem. After getting the new target, in order to adapt appearance change, we propose a corresponding online strategy to incrementally update our model. Experiments show that convolutional features extracted by well-integrated Prewitt and Sobel edge detectors can be eff^cient enough to learn robust appearance model. Numerous experimental results on nine challenging sequences show that our proposed approach is very effective and robust in comparison with the state-of-the-art trackers.
基金financially supported by the National Natural Science Foundation of China (No. 51205102)the China Postdoctoral Science Foundation (No. 2012M511401)
文摘Wear properties of the nonhydrogenated, hydrogenated 0.5 wt%, and dehydrogenated Ti6Al4V alloys were studied through dry sliding wear tests using an M-200 type pin-on-disk wear testing machine in ambient air at room temperature to reveal the effects of hydrogen on wear properties of Ti6Al4V alloy. Morphology and chemical element of worn surface were investigated by means of scanning electron microscope （SEM） and energy dispersive spectroscopy （EDS）. Results show that hydrogen decreases the wear resistance of Ti6Al4V alloy. Wear rate of the Ti6Al4V alloy increases after hydrogenation. Wear rate increases by 244.3 % when 0.5 wt% hydrogen is introduced into a Ti6Al4V alloy. Wear rate of the dehydrogenated Ti6Al4V alloy recovers. Wear mechanisms of the nonhydrogenated, hydrogenated, and dehydrogenated Ti6Al4V alloys are determined. The nonhydrogenated Ti6Al4V alloy is controlled by oxidative wear. The hydrogenated Ti6Al4V alloy is dominated by abrasive wear. Wear mechanism of the dehydrogenated Ti6Al4V alloys is a mixture of oxidative wear and abrasive wear.
