An Action Design Research to Facilitate the Adoption of Personal Health Records

Ngassam, Rhode Ghislaine Nguewo; Ung, Linnea; Ologeanu-Taddeï, Roxana; Lartigau, Jorick; Demoly, Pascal; Bourdon, Isabelle; Molinari, Nicolas; Chiriac, Anca Mirela

doi:10.4018/joeuc.288551

Cited by 9 publications

(6 citation statements)

References 69 publications

(119 reference statements)

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“…Comparison models can be divided into two categories: simple models and other models. Designers, such as 3D Conv Net and C3d, refer to the measurement models provided in this document to improve the performance of the design [25,26]. Among them, 3D Conv Net first proposed the concept of 3D conversion; C3D is the classic model of 3D CNN in the field of human behavior; and the design model for decomposing shallow features in this sentence includes part of its design [27,28].…”

Section: Experimental Results and Analysismentioning

confidence: 99%

Sports Deep Learning Method Based on Cognitive Human Behavior Recognition

Liu

2022

Computational Intelligence and Neuroscience

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An in-depth learning-based approach is designed to develop the ability to recognize human behavior on the move. We introduce 3D residual structures and create 3D residual models. In order to get the most out of the data relationship of several consecutive frames, this study introduces 3D techniques for assigning different values to the existing frames. Experiments show that both structures improve recognition performance. For the 3D residual model, 3D attention model, and 3D attention residual model, this study proposes two model fusion strategies: average and weighted. Among them, the weighted fusion is to give a higher fusion proportion to the high accuracy model by using the model weight calculation method designed in this study. The experimental results show that the additive fusion strategy based on feature contribution has an obvious improvement effect on the test results of the two benchmark datasets, with an increase of more than 2% points, including an increase of 2.69% on HMDB51. The effect of splicing and fusion strategy has also increased by more than 1% point, including 1.34% on UCF101 dataset and about 1.9% on HMDB51. It is proven that deep learning can effectively recognize human behavior in sports.

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Section: Experimental Results and Analysismentioning

confidence: 99%

Sports Deep Learning Method Based on Cognitive Human Behavior Recognition

Liu

2022

Computational Intelligence and Neuroscience

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“…erefore, the development of simple, economical, and sensitive rutin detection methods is of great signi cance for human health. So far, the laboratory detection methods used in rutin include HPLC, reverse-phase HPLC, UV visible spectrophotometry, and chemical luminescence method, but some of these methods are complicated predetection and require a long detection time; on the contrary, the electrochemical method is convenient, and has characteristics such as quick response, low detection limit, and good stability; therefore, compared with these common methods, electrochemical detection method is a good choice for Lutin detection [23].…”

Section: Electrochemical Detection Of Rutin By Nanocompositesmentioning

confidence: 99%

Construction of Nanomaterials and the Role of Rutin in the Treatment of Cerebral Hemorrhage

Li¹,

Gao

2022

Advances in Materials Science and Engineering

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Cerebral hemorrhage generally refers to nontraumatic cerebral parenchymal hemorrhage. In China, about 20%–30% of all stroke in a month after the mortality rate can be as high as 40%. And most of the survivors have obvious neurological dysfunction, to the patient’s family and society from all walks of life caused great psychological pressure, which will seriously affect the human physical and mental health. This article aims at studying the construction of nanomaterials and the role of rutin in the treatment of ICH. It first introduces the characteristics of nanomaterials; nanomaterials have some special effects based on their special internal structural properties and surface states. These effects derive many physical and chemical properties that general substances do not possess, such as optical, electrical, magnetic, catalytic, and photocatalytic properties. A simple analysis of cerebral hemorrhage then gives the nanomaterials the first-principles algorithm. Practical application of nanomaterials is a class of nanomaterials, which have many strange chemical characteristics such as special light, electric, magnetic, thermal, mechanical, mechanical physical, and chemical characteristics. Then, the nanocomposite of rutin electrochemical detection is analyzed, and finally rutin and analog brain drug dynamics is discussed. The experimental results showed that the RSD of samples at room temperature, freeze-thaw cycles, and long-term stability of the mice were less than 5.0%, and the stability of mouse brain tissue homogenate samples completely meets the requirements of troxerutin, rutin, and troxerutin aglycone.

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“…First of all, a questionnaire survey was conducted on the students majoring in dance in our school to comprehensively understand the nutritional health status of the students majoring in dance. Questionnaire is divided into the investigation of the basic information of the students and the nutritional status of investigation, students basic information including gender, age, cognitive condition of nutrition and health, access to the nutrition knowledge, diet (that is, the early work of repast ratio), including the nutritional status of body mass index (BMI), dietary structure condition, three major nutrition elements power than the three aspects of information [13][14]. In the investigation of nutritional status, BMI is based on "Adult Weight Classification" : A BMI less than 18.5 indicates underweight, a BMI greater than or equal to 18.5 and less than 24.0 indicates normal weight, a BMI greater than or equal to 24.0 and less than 28.0 indicates overweight and a BMI greater than or equal to 28.0 indicates obesity.…”

Section: Methodsmentioning

confidence: 99%

Investigation of Nutritional Status of Dance Majors and Guidance of Nutritional Meal Preparation

2021

IJST

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：To investigate the nutritional status of students majoring in dance and put forward the guidance and Suggestions of nutritional diet. Questionnaire was used to dance professional students nutritional status of the investigation, and will dance professional students into two groups, one group (experimental group) used in this paper, nutrition meal types, 1 months of nutritional intervention, another group (control group) daily meals, without any intervention. Observe the nutritional status of students in both groups. (1) Body mass index (BMI) : compared with the control group, the achievement rate of BMI in the experimental group was significantly increased (p<0.01). (2) Dietary structure: compared with the control group, the rate of major nutrients in the experimental group was significantly increased (there was a significant difference, P<0.01); (3) Energy supply ratio of the three major nutritional factors: compared with the control group, the number of students in the experimental group meeting the requirements of energy supply ratio of the three major nutritional factors increased significantly (there was a significant difference, P<0.01). The nutritional diet scheme proposed in this paper has a certain effect on improving the nutritional status of dance majors.

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An Action Design Research to Facilitate the Adoption of Personal Health Records

Cited by 9 publications

References 69 publications

Sports Deep Learning Method Based on Cognitive Human Behavior Recognition

Sports Deep Learning Method Based on Cognitive Human Behavior Recognition

Construction of Nanomaterials and the Role of Rutin in the Treatment of Cerebral Hemorrhage

Investigation of Nutritional Status of Dance Majors and Guidance of Nutritional Meal Preparation

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