Recognition of Design Fixation via Body Language Using Computer Vision

From Hindawi via Jisc Publications RouterHistory: received 2020-12-21, publication-year 2021, rev-recd 2021-06-19, accepted 2021-08-12, archival-date 2021-08-27, pub-print 2021-08-27Publication status: PublishedFunder: National Natural Science Foundation of China; doi: http://dx.doi.org/10.13039/501100001809; Grant(s): 51905175Funder: Shanghai Pujiang Talent Program; Grant(s): 2019PJC021Funder: Ministry of Education of the People's Republic of China; doi: http://dx.doi.org/10.13039/501100002338; Grant(s): 202002SZ05Funder: Shanghai Soft Science Key Project; Grant(s): 21692196800The main objective of this study is to recognize design fixation accurately and effectively. First, we conducted an experiment to record the videos of design process and design sketches from 12 designers for 15 minutes. Then, we executed a video analysis of body language in designers, correlating body language to the presence of design fixation, as judged by a panel of six experts. We found that three body language types were significantly correlated to fixation. A two-step hybrid recognition model of design fixation based on body language was proposed. The first-step recognition model of body language using transfer learning based on a pretrained VGG-16 convolutional neural network was constructed. The average recognition rate achieved by the VGG-16 model was 92.03%. Then, the frames of recognized body language were used as input vectors to the second-step fixation classification model based on support vector machine (SVM). The average recognition rate for the fixation state achieved by the SVM model was 79.11%. The impact of the work could be that the fixation can be detected not only by the sketch outcomes but also by monitoring the movements, expressions, and gestures of designers, as it is happening by monitoring the movements, expressions, and gestures of designers

A Unified-Field Monolithic Fictitious Domain-Finite Element Method for Fluid-Structure-Contact Interactions and Applications to Deterministic Lateral Displacement Problems

Based upon two overlapped, body-unfitted meshes, a type of unified-field monolithic fictitious domain-finite element method (UFMFD-FEM) is developed in this paper for moving interface problems of dynamic fluid-structure interactions (FSI) accompanying with high-contrast physical coefficients across the interface and contacting collisions between the structure and fluidic channel wall when the structure is immersed in the fluid. In particular, the proposed novel numerical method consists of a monolithic, stabilized mixed finite element method within the frame of fictitious domain/immersed boundary method (IBM) for generic fluid-structure-contact interaction (FSCI) problems in the Eulerian-updated Lagrangian description, while involving the no-slip type of interface conditions on the fluid-structure interface, and the repulsive contact force on the structural surface when the immersed structure contacts the fluidic channel wall. The developed UFMFD-FEM for FSI or FSCI problems can deal with the structural motion with large rotational and translational displacements and/or large deformation in an accurate and efficient fashion, which are first validated by two benchmark FSI problems and one FSCI model problem, then by experimental results of a realistic FSCI scenario -- the microfluidic deterministic lateral displacement (DLD) problem that is applied to isolate circulating tumor cells (CTCs) from blood cells in the blood fluid through a cascaded filter DLD microchip in practice, where a particulate fluid with the pillar obstacles effect in the fluidic channel, i.e., the effects of fluid-structure interaction and structure collision, play significant roles to sort particles (cells) of different sizes with tilted pillar arrays.Comment: 32 pages, 42 figures, 5 tables, 66 reference

Baicalin Normalizes Blood Glucose Level in Streptozotocin -induced Diabetic Rats

This study aimed to determine the effect of baicalin on insulin resistance, glucose absorption, and blood lipids in type 2 diabetic rat model. Diabetic rats were treated with baicalin (40, 80 mg/kg) for 40 days. The results showed that diabetic rats treated with baicalin resulted in a significant decrease in the concentration of plasma triglycerides and high-density lipoprotein cholesterol, improved the body weight. Furthermore, baicalin markedly decreased blood glucose level in the diabetic rats. The levels of plasma insulin and resistin exhibited significantly lower in the diabetic rats treated with baicalin than those of the model group. These findings suggest that baicalin can improve adipose metabolic disturbance in the experimental type 2 diabetic rats, can effectively ameliorate insulin resistance and plasma glucose transport by decreasing the levels of plasma resistin.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Baicalin Normalizes Blood Glucose Level in Streptozotocin -induced Diabetic Rats

This study aimed to determine the effect of baicalin on insulin resistance, glucose absorption, and blood lipids in type 2 diabetic rat model. Diabetic rats were treated with baicalin (40, 80 mg/kg) for 40 days. The results showed that diabetic rats treated with baicalin resulted in a significant decrease in the concentration of plasma triglycerides and high-density lipoprotein cholesterol, improved the body weight. Furthermore, baicalin markedly decreased blood glucose level in the diabetic rats. The levels of plasma insulin and resistin exhibited significantly lower in the diabetic rats treated with baicalin than those of the model group. These findings suggest that baicalin can improve adipose metabolic disturbance in the experimental type 2 diabetic rats, can effectively ameliorate insulin resistance and plasma glucose transport by decreasing the levels of plasma resistin.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Visfatin and 25-Hydroxyvitamin D ₃ Levels Affect Coronary Collateral Circulation Development in Patients with Chronic Coronary Total Occlusion

Background: Coronary collateral circulation (CCC) plays a vital role in the myocardial blood supply, especially for ischemic myocardium. Evidence suggests that the visfatin and 25-hydroxyvitamin D 3 [25(OH)D 3] levels are related to the degree and incidence of vascular stenosis associated with coronary artery disease; however, few studies have evaluated the effect of visfatin and 25(OH)D 3 on CCC development in patients with chronic total occlusion (CTO). This study aimed to evaluate the relationship between the serum visfatin and 25(OH)D 3 levels and CCC in patients with CTO. Methods: A total of 189 patients with CTO confirmed by coronary angiography were included. CCC was graded from 0 to 3 according to the Rentrop-Cohen classification. Patients with grade 0 or grade 1 collateral development were included in the poor CCC group ( n=82), whereas patients with grade 2 or grade 3 collateral development were included in the good CCC group ( n=107). The serum visfatin and 25(OH)D 3 levels were measured by ELISA. Results: The visfatin level was significantly higher in the poor CCC group than in the good CCC group, and the 25(OH)D 3 level was significantly lower in the poor CCC group than in the good CCC group (P=0.000). Correlation analysis showed that the Rentrop grade was negatively correlated with the visfatin level ( r=−0.692, P=0.000) but positively correlated with the 25(OH)D 3 level ( r=0.635, P=0.000). Logistic regression analysis showed that the visfatin and 25(OH)D 3 levels were independent risk factors for CCC (odds ratio 1.597, 95% confidence interval 1.300–1.961, P=0.000 and odds ratio 0.566, 95% confidence interval 0.444–0.722, P=0.000, respectively). The visfatin and 25(OH)D 3 levels can effectively predict the CCC status. Conclusion: Serum visfatin and 25(OH)D 3 levels are related to CCC development and are independent predictors of poor CCC. </p

Deep Learning-based Marine Target Detection Method with Multiple Feature Fusion

Considering the problem of radar target detection in the sea clutter environment, this paper proposes a deep learning-based marine target detector. The proposed detector increases the differences between the target and clutter by fusing multiple complementary features extracted from different data sources, thereby improving the detection performance for marine targets. Specifically, the detector uses two feature extraction branches to extract multiple levels of fast-time and range features from the range profiles and the range-Doppler (RD) spectrum, respectively. Subsequently, the local-global feature extraction structure is developed to extract the sequence relations from the slow time or Doppler dimension of the features. Furthermore, the feature fusion block is proposed based on adaptive convolution weight learning to efficiently fuse slow-fast time and RD features. Finally, the detection results are obtained through upsampling and nonlinear mapping to the fused multiple levels of features. Experiments on two public radar databases validated the detection performance of the proposed detector

Total alkaloids from Solanum Iyratum Thunb. inhibited hela cells proliferation through induction of apoptosis and cell cycle arrest

The object of the present study was to investigate the anticancer properties of total alkaloids from Solanum lyratum Thunb (SLT-A), including the inhibitory effect of SLT-A on HeLa cells and the apoptosis-inducing capacity in vitro. In our study, cytotoxicity was measured by the growth inhibition assay and detection of apoptosis was performed by Hoechst33324 and Tdt-mediated dUTP nick end labeling (TUNEL) staining assays. The in vitro cytotoxic studies were complemented by the cell cycle analysis and determination caspase-3 activity. Reverse transcription-polymerase chain reaction (RT-PCR) assay was applied on the expression of apoptosis-associated genes. The result showed that treatment of HeLa cells with SLT-A resulted in the growth inhibition effect, and the IC50 value was approximately 82 µg/ml. SLTA (80 µg/ml) induced more cell apoptosis of HeLa cells and accumulated the cells in the G2/M phase compared with the control cells. On the other hand, the expression of p53 and Bax gene was increased in the cells treated with SLT-A (80 µg/ml), with an increase in the activity of caspase-3, while Bcl-2 expression was not changed compared to the control cells. Our results demonstrated that SLT-A presented antiproliferative activity in HeLa cells and might be a potential anticancer drug.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Baicalin Normalizes Blood Glucose Level in Streptozotocin -induced Diabetic Rats

This study aimed to determine the effect of baicalin on insulin resistance, glucose absorption, and blood lipids in type 2 diabetic rat model. Diabetic rats were treated with baicalin (40, 80 mg/kg) for 40 days. The results showed that diabetic rats treated with baicalin resulted in a significant decrease in the concentration of plasma triglycerides and high-density lipoprotein cholesterol, improved the body weight. Furthermore, baicalin markedly decreased blood glucose level in the diabetic rats. The levels of plasma insulin and resistin exhibited significantly lower in the diabetic rats treated with baicalin than those of the model group. These findings suggest that baicalin can improve adipose metabolic disturbance in the experimental type 2 diabetic rats, can effectively ameliorate insulin resistance and plasma glucose transport by decreasing the levels of plasma resistin.Colegio de Farmacéuticos de la Provincia de Buenos Aire