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| 1 | Wound healing activity of aqueous extract of Crotalaria verrucosa in Wistar albino rats显示文摘Objective:To evaluate the wound healing effect of aqueous extract of Crotalaria verrucosa(C. verrucosa) in rats.Methods:Three wound models including incision,excision and dead space wounds were used in this study.The parameters studied were breaking strength in incision models,granulation tissue dry weight,breaking strength and hydroxyproline content in dead space wounds,percentage of wound contraction and period of epithelialization in excision wound model.Results:Two doses of the extract with and without dexamethasone showed significant increases in mean hydroxyproline,total protein content and dry weight of granulation tissue but it was higher with dose 800 mg/kg comparing with the control.The dexamethasone treated group showed a significant(P<0.001) reduction in the wound breaking strength when compared to control group in incision type of wound model.Coadministration of C.verrucosa with dexamethasone significantly(P<0.001) increased the breaking strength compared to the dexamethasone treated only group.In excision wound model,the percentage of the wound contraction was significantly(P<0.01) increased by two doses of test extract on all the days except the lower dose which exhibited only on 12th,16th days of drug treatment and it also reversed the dexamethasone suppressed wound contraction.It significantly(P<0.001) reduced the time required for epithelialization and reversed the epithelialization delaying effect of dexamethasone (P<0.001).Conclusions:C.verrucosa was found to possess significant wound healing property. This was evident by decrease in the period of epithelialization,increase in the rate of wound contraction,skin breaking strength,and granulation tissue dry weight content.Hence C. verrucosa could be a good wound healing agent. | Meena Kumari Eesha BR Mohanbabu Amberkar Sarath babu Rajshekar Neelesh Kumar | 2010 | Asian Pacific Journal of Tropical Medicine2010，3，10： | 3 |
| 2 | Modal analysis of cold-formed pallet rack structures with semi-rigid connections显示文摘 | Kamal M. Bajoria Keshav K. Sangle Rajshekar S. Talicotti | 2009 | Journal of Constructional Steel Research2009，，3： | 1 |
| 3 | Scavenging of free radical and inhibition of lipid peroxidation 显示文摘 | Rajshekar N Rao MNA | 1995 | J Pharmacol1995，8，47： | 1 |
| 4 | Virtual-reality-based digital twin of office spaces with social distance measurement feature显示文摘Background Social distancing is an effective way to reduce the spread of the SARS-CoV-2 virus.Many students and researchers have already attempted to use computer vision technology to automatically detect human beings in the field of view of a camera and help enforce social distancing.However,because of the present lockdown measures in several countries,the validation of computer vision systems using large-scale datasets is a challenge.Methods In this paper,a new method is proposed for generating customized datasets and validating deep-learning-based computer vision models using virtual reality(VR)technology.Using VR,we modeled a digital twin(DT)of an existing office space and used it to create a dataset of individuals in different postures,dresses,and locations.To test the proposed solution,we implemented a convolutional neural network(CNN)model for detecting people in a limited-sized dataset of real humans and a simulated dataset of humanoid figures.Results We detected the number of persons in both the real and synthetic datasets with more than 90%accuracy,and the actual and measured distances were significantly correlated(r=0.99).Finally,we used intermittent-layer-and heatmap-based data visualization techniques to explain the failure modes of a CNN.Conclusions A new application of DTs is proposed to enhance workplace safety by measuring the social distance between individuals.The use of our proposed pipeline along with a DT of the shared space for visualizing both environmental and human behavior aspects preserves the privacy of individuals and improves the latency of such monitoring systems because only the extracted information is streamed. | Abhishek MUKHOPADHYAY G S Rajshekar REDDY KamalPreet Singh SALUJA Subhankar GHOSH Anasol PEÑA-RIOS Gokul GOPAL Pradipta BISWAS | 2022 | Virtual Reality & Intelligent Hardware2022，4，1： | 1 |
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