In order to address the problems of lack of methods and low efficiency of coaching in traditional police physical fitness-assisted training systems, this paper proposes a Micro-electromechanical system (MEMS) sensor-based sports assistance training system. Using the MEMS sensor's working principle, the system's hardware design is completed through the design of the logical framework of the physical fitness-assisted training system and the design of the physical fitness-assisted training sensor. At the same time, the trainer's arm motion posture angle is calculated by extracting the body motion trajectory features and combining them with the Kalman filter method, and then the trainer's posture estimation algorithm is designed, and finally, the software design of the system is completed, to realize the design of the motion-assisted training system. The experimental test results show that the MEMS sensor-based police physical fitness-assisted training system can increase the number of assisted training methods and improve coaching efficiency, thus greatly improving the performance of the police physical fitness-assisted training system. The system designed in this paper is of great significance to the promotion of motion capture technology and its application in the field of police physical fitness-assisted training.
Same-race (SR) faces are identified better than other-race (OR) faces, and this other-race effect (ORE) is correlated with experience. SR faces are also processed more holistically than OR faces, suggesting one possible mechanism for poorer performance on OR faces. Recently, we showed that individuating experience predicts the ORE in holistic processing (Bukach et al., 2012). Although a few studies have shown a functional relationship between holistic processing and identification of SR faces, this has yet to be demonstrated in OR studies. Here, we investigate the functional relationship between OREs in holistic processing and face identification and its relationship to experience in a Caucasian population (N= 26). Subjects completed a 4-alternative sequential matching task and a composite task to measure holistic processing for both Black and Caucasian faces on different days. We also administered Walker & Hewstone’s (2006) survey that assesses quantity and quality of OR experience, and questions to assess quantity and quality of OR contact both prior to University and currently. There was a consistent but nonsignificant pattern of negative correlations between the ORE in face identification and all experience questionnaires, with current quality of experience being the strongest and most reliable predictor (r = -.347, p = 052), and a consistent pattern of negative correlations between holistic processing and experience, with quantity of contact prior to University most predictive (r = -374, p = .035), indicating that experience decreases the other-race effect in both identification and holistic processing. We observed a marginally significant positive correlation between OREs for identification and holistic processing (r = .301, p = .094), suggesting that the two may be functionally related. This interpretation is tentative until confirmed with further data collection. Meeting abstract presented at VSS 2013
Purpose To explore the application value of prospective monitoring model in the nursing management of breast cancer patients during perioperative period. Methods 300 perioperative breast cancer patients admitted to our hospital from January to August 2021 were randomly divided into the control group ( n = 150) and the model group ( n = 150). Both groups used routine nursing management, and the model group added nursing management based on a prospective monitoring model. The quality of surgical nursing, circumference of the upper limbs, and the scores of disability of arm-shoulder-hand (DASH), exerciseofself-care agencyscale (ESCA), social self-esteem scale (SSES), multidimensional fatigue symptom inventory-short form (MFSI-SF) and functional assessment of cancer therapy-breast cancer (FACT-B) were compared of the two groups. Results Postoperatively, the quality of surgical nursing was better in the model group than in the control group ( P < 0.05). At 3 months postoperatively, the number of cases of upper limb lymphedema was higher in both groups than before ( P < 0.05), but there was no statistical difference between the two groups in the preoperative and 3 months postoperative comparisons ( P > 0.05). At 3 months postoperatively, the total DASH score was higher than preoperatively in both groups, but lower in the model group than in the control group ( P < 0.05). After nursing, the ESCA and SSES scores of each dimension were higher in both groups than before, and the model group was higher than the control group ( P < 0.05). At 3 months postoperatively, the total MFSI-SF score was lower than preoperatively in both groups, and lower in the model group than in the control group ( P < 0.05). At 3 months postoperatively, the FACT-B scores of each dimensions were higher in the model group than in the control group ( P < 0.05). Conclusion The implementation of nursing management based on a prospective monitoring model for breast cancer patients during the perioperative period has important clinical value in improving the quality of surgical nursing and improving postoperative upper limb lymphedema, upper limb function, self-care ability, social self-esteem, cancer-related fatigue symptoms, quality of life, etc.
Noninvasive and simple indicators for diagnosing latent tuberculosis (TB) infection (LTBI) and tracking progression from latent infection to active TB infection are still desperately needed. The aim of this study was to screen and identify possible biomarkers for diagnosing LTBI and monitoring the progression from latent infection to active TB infection, as well as to investigate the underlying processes and functions. To assess changes in metabolite composition associated with active tuberculosis infection in humans, whole blood supernatants were collected from patients with LTBI, drug-susceptible TB patients, drug-resistant TB patients, and healthy controls. The metabolites in all serum samples were extracted by oscillatory, deproteinization, and then detected by liquid chromatography-tandem mass spectrometry/MS analysis. Normalization by Pareto-scaling method, the difference analysis was carried out by Metaboanalyst 4.0 software, and 1-way analysis of variance analysis among groups showed that P-value < 0.05 was regarded as a different metabolite. To clarify the dynamic changes and functions of differential metabolites with disease progression, and explore its significance and mechanism as a marker by further cluster analysis, functional enrichment analysis, and relative content change analysis of differential metabolites. 65 metabolites were substantially different in four groups. Differential metabolites such as Inosine and Prostaglandin E1 may be important blood indicators for diagnosing mycobacterium tuberculosis latent infection, which were all tightly connected to amino acid metabolism, Biosynthesis of various secondary metabolites, Nucleotide metabolism, Endocrine system, Immune system, Lipid metabolism, and Nervous system. This study screened and identified Inosine, 16, 16-dimethyl-6-keto Prostaglandin E1, Theophylline, and Cotinine as potential serum biomarkers for diagnosing latent TB infection, and Cotinine as potential biomarkers for monitoring disease progression from healthy population to LTBI and then to active TB including drug-resistant TB infection and sensitive TB infection. Furthermore, this research provides a preliminary experimental basis to further investigate the development of metabolomics-based diagnosis of LTBI and monitoring the progress from latent infection to active TB infection.
With the campus navigation system of Shandong University of Technology as example,the implementation of model-simplification,model-optimization,multi-view stereovision and the virtual navigation system based on VRP-SDK and MFC were discused,and some key techniques in the system of virtual campus were also discussed.
To solve problems of ergonomic evaluation in cockpit collaborative design(co-design), it needs to design shared ergonomic evaluation system to rapid response ergonomic requirements of cockpit co-design, and which it can be used for real-time dynamic evaluation by participants in every iterative interval. A design of Cockpit Ergonomic Evaluation Simulation System(C2ES) is proposed and research in ARtoolkit development platform. The C2ES, which based on specific demand of aviation cockpit ergonomic evaluation, has been designed a modified configuration in typical video see-through augmented reality system. Its design achieved two majors' parts, which one is infrared camera and infrared marker to track head movements, and another is mixture of synthetic instrument and cockpit physical model by visual registration algorithm. The C2ES, whose underlying infrastructure come from mature algorithm and typical system has preferable robustness and practicability of cockpit ergonomic evaluation. Verification experiments show that it can be as a platform to simulate more layout change in cockpit which will then achieve knowledge sharing and find commonalities. For the new ergonomic design conflict that get unveiled, build on them further to conflict resolution.
To accurately describe the vehicle vibration, the vibration response of the vehicle operation system affected by the track was studied. Through the analysis of the topological structure of vehicle operation system, the flexible track model and the rigid track model was built up. The track circuit model was established by simplifying the rigid track, and its inherent vibration was calculated by eigenvalue analysis. Power spectrum method was used to compare the dynamic model of flexible track and the dynamic model of rigid track and verify the effect of track on the vibration of vehicle. The results show that the effect of track on the vibration of vehicle mainly include the inherent vibration of track circuit and the high frequency vibration related to track pitch; the computing result provides a reference basis for describing the effect of track quantitatively.
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