175 research outputs found
Innovative photo booth system
No full textiPhotoBooth is an innovative photo booth system integrated with augmented reality technology. This system is consisting of an iOS application and a responsive website. This final year project aims at providing an innovative entertainment for events which is able to solve some weakness of the traditional photo booth and become another popular trend. This report is a comprehensive summary of final year project which includes analysis of traditional photo booth, idea and solution to solve weakness of traditional photo booth, explanation of design and functions of iOS application and website, first display on events, overcame problems, conclusion and further usage in future. The gold of this report is to provide a clear understanding of iPhotoBooth itself and a vision how to improve photo booth business and benefit society. Nevertheless, commercializing an application cannot take place overnight. A long-term strategy, like lean startup management, is necessary to review and revise this application. That is why the author keep looking for opportunities to display iPhotoBooth in real event. This is just one step in AR entertainment, however, it is believed that this kind of idea and system will be wild used in future.Bachelor of Engineerin
Innovative photo booth system
No full textiPhotoBooth is an innovative photo booth system integrated with augmented reality technology. This system is consisting of an iOS application and a responsive website. This final year project aims at providing an innovative entertainment for events which is able to solve some weakness of the traditional photo booth and become another popular trend. This report is a comprehensive summary of final year project which includes analysis of traditional photo booth, idea and solution to solve weakness of traditional photo booth, explanation of design and functions of iOS application and website, first display on events, overcame problems, conclusion and further usage in future. The gold of this report is to provide a clear understanding of iPhotoBooth itself and a vision how to improve photo booth business and benefit society. Nevertheless, commercializing an application cannot take place overnight. A long-term strategy, like lean startup management, is necessary to review and revise this application. That is why the author keep looking for opportunities to display iPhotoBooth in real event. This is just one step in AR entertainment, however, it is believed that this kind of idea and system will be wild used in future.Bachelor of Engineerin
DrugEx v2 pretrained model (ChEMBL27)
No full textThis SMILES-model was built with version v2 of DrugEx. The dataset used to build this model was ChEMBL version 27
Kurtosis Based Empirical Mode Decomposition for Rolling Bearing Fault Detection
Full text linkA bearing fault diagnosis approach based on spectral kurtosis and empirical mode decomposition (EMD) is proposed. EMD is a signal decomposition technique, which can adaptively separate a number of intrinsic mode functions (IMFs) from the vibration signal according to the architectural characteristics of the data. The spectral kurtosis parameter takes as signal impulsive indicator. Firstly, EMD is utilized to process the sampling vibration signal. And then spectral kurtosis is calculated to select the optimal intrinsic mode functions, so as to suppress the noise and highlight the transient impact feature. Finally, the envelope spectrum is computed and the fault characteristic is recognized. The experimental results show that the proposed approach can identify bearing defects effectively and provide a reliable method for gearbox fault monitoring and diagnosis
Cytonuclear coevolution following homoploid hybrid speciation in Aegilops tauschii
Full text linkThe diploid D-genome lineage of the Triticum/Aegilops complex has an evolutionary history involving genomic contributions from ancient A- and B/S-genome species. We explored here the possible cytonuclear evolutionary responses to this history of hybridization. Phylogenetic analysis of chloroplast DNAs indicate that the D-genome lineage has a maternal origin of the A-genome or some other closely allied lineage. Analyses of the nuclear genome in the D-genome species Aegilops tauschii indicate that accompanying and/or following this ancient hybridization, there has been biased maintenance of maternal A-genome ancestry in nuclear genes encoding cytonuclear enzyme complexes (CECs). Our study provides insights into mechanisms of cytonuclear coevolution accompanying the evolution and eventual stabilization of homoploid hybrid species. We suggest that this coevolutionary process includes likely rapid fixation of A-genome CEC orthologs as well as biased retention of A-genome nucleotides in CEC homologs following population level recombination during the initial generations.This is a manuscript of an article published as Li, Changping, Xuhan Sun, Justin L. Conover, Zhibin Zhang, Jinbin Wang, Xiaofei Wang, Xin Deng et al. "Cytonuclear coevolution following homoploid hybrid speciation in Aegilops tauschii." Molecular biology and evolution (2018). doi: 10.1093/molbev/msy215.</p
Codelivery of doxorubicin and curcumin with lipid nanoparticles results in improved efficacy of chemotherapy in liver cancer
No full textXiaojing Zhao,1,2,* Qi Chen,3,* Wei Liu,1,2 Yusang Li,3 Hebin Tang,3 Xuhan Liu,1,2 Xiangliang Yang1,2 1College of Life Science and Technology, 2National Engineering Research Center for Nanomedicine, Huazhong University of Science and Technology, 3Department of Pharmacology, College of Pharmacy, South-Central University for Nationalities, Wuhan, People’s Republic of China *These authors contributed equally to this work Abstract: Liver cancer is a leading cause of cancer deaths worldwide. The combination therapy of cytotoxic and chemosensitizing agents loaded in nanoparticles has been highlighted as an effective treatment for different cancers. However, such studies in liver cancer remain very limited. In our study, we aim to develop a novel lipid nanoparticles loaded with doxorubicin (DOX) (an effective drug for liver cancer) and curcumin (Cur) (a chemosensitizer) simultaneously, and we examined the efficacy of chemotherapy in liver cancer. DOX and Cur codelivery lipid nanoparticles (DOX/Cur-NPs) were successfully prepared using a high-pressure microfluidics technique, showing a mean particle size of around 90 nm, a polydispersity index <0.3, and a zeta potential <−10 mV. The encapsulation efficacy was >90% for both DOX and Cur. The blank lipid nanoparticles were nontoxic, as determined by a cell cytotoxicity study in human normal liver cells L02 and liver cancer cells HepG2. In vitro DOX release studies revealed a sustained-release pattern until 48 hours in DOX/Cur-NPs. We found enhanced cytotoxicity and decreased inhibitory concentration (IC)50 in HepG2 cells and reduced cytotoxicity in L02 cells treated with DOX/Cur-NPs, suggesting the synergistic effects of DOX/Cur-NPs compared with free DOX and DOX nanoparticles (NPs). The optimal weight ratio of DOX and Cur was 1:1. Annexin-V-fluorescein isothiocyanate/propidium iodide double staining showed enhanced apoptosis in HepG2 cells treated with DOX/Cur-NPs compared with free DOX and DOX-NPs. An in vivo experiment showed the synergistic effect of DOX/Cur-NPs compared with DOX-NPs on liver tumor growth inhibition. Taken together, the simultaneous delivery of DOX and Cur by DOX/Cur-NPs might be a promising treatment for liver cancer. Keywords: doxorubicin, curcumin, codelivery, liver cancer, cytotoxicity, tumor growth inhibitio
DrugEx RNN-GRU pretrained model (ChEMBL31)
No full textThis SMILES RNN model was built with DrugEx version 3.4.0. The dataset used to build this model was ChEMBL version 31
DrugEx v2 pretrained model (ChEMBL31)
No full textThis SMILES-model was built with version v2 of DrugEx. The dataset used to build this model was ChEMBL version 31
DrugEx v3 pretrained model (graph-based; Papyrus 05.5)
No full textThis graph-model was built with version v3.2.0-dev1 of DrugEx. The dataset used to build this model was Papyrus version 05.5.
Parameters and command lines used to prepare the data and fit the model are included
DrugEx v3 pretrained model (graph-based; ChEMBL31)
No full textThis graph-model was built with version v3.2.0-dev1 of DrugEx. The dataset used to build this model was ChEMBL version 31
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