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Search Results: 1 - 10 of 83576 matches for " Pi Liu "
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Basic Elements Knowledge Acquisition Study in the Chinese Character Intelligent Formation System  [PDF]
Mingyou LIU, Chengsen DUAN, Youguo PI
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.25041
Abstract: In the Chinese character intelligent formation system without Chinese character library, it is possible that the same basic element in different Chinese characters is different in position, size and shape. The geometry transformation from basic elements to the components of Chinese characters can be realized by affine transformation, the transformation knowledge acquisition is the premise of Chinese character intelligent formation. A novel algorithm is proposed to ac-quire the affine transformation knowledge of basic elements automatically in this paper. The interested region of Chi-nese character image is determined by the structure of the Chinese character. Scale invariant and location invariant of basic element and Chinese character image are extracted with SIFT features, the matching points of the two images are determined according to the principle of Minimum Euclidean distance of eigenvectors. Using corner points as identifi-cation features, calculating the one-way Hausdorff distance between corner points as the similarity measurement from the affine image to the Chinese character sub-image, affine coefficients are determined by optimal similarity. 70244 Chinese characters in National Standards GB18030-2005 character set are taken as the experimental object, all the characters are performed and the experimental courses and results are presented in this paper.
Factors That Affect the Computational Prediction of Hot Spots in Protein-Protein Complexes  [PDF]
Jianping Lin, Pi Liu, Hua-Zheng Yang, Nagarajan Vaidehi
Computational Molecular Bioscience (CMB) , 2012, DOI: 10.4236/cmb.2012.21003
Abstract: Protein-protein complexes play an important role in the physiology and the pathology of cellular functions, and therefore are attractive therapeutic targets. A small subset of residues known as “hot spots”, accounts for most of the protein-protein binding free energy. Computational methods play a critical role in identifying the hotspots on the proteinprotein interface. In this paper, we use a computational alanine scanning method with all-atom force fields for predicting hotspots for 313 mutations in 16 protein complexes of known structures. We studied the effect of force fields, solvation models, and conformational sampling on the hotspot predictions. We compared the calculated change in the protein-protein interaction energies upon mutation of the residues in and near the protein-protein interface, to the experimental change in free energies. The AMBER force field (FF) predicted 86% of the hotspots among the three commonly used FF for proteins, namely, AMBER FF, Charmm27 FF, and OPLS-2005 FF. However, AMBER FF also showed a high rate of false positives, while the Charmm27 FF yielded 74% correct predictions of the hotspot residues with low false positives. Van der Waals and hydrogen bonding energy show the largest energy contribution with a high rate of prediction accuracy, while the desolvation energy was found to contribute little to improve the hot spot prediction. Using a conformational ensemble including limited backbone movement instead of one static structure leads to better predicttion of hotpsots.
Comparative Study of the Therapeutic Effects of Two Corpus Luteum Support Regimens on Patients with Frozen Embryo Transfer  [PDF]
Zijing Zhang, Weigang Liu, Wenyi Lu, Shibao Song, Jie Pi
Yangtze Medicine (YM) , 2019, DOI: 10.4236/ym.2019.31005
Abstract: Aim: To investigate the efficacy of two corpus luteum support programs in patients with frozen embryo transfer (FET). Methods: A retrospective analysis of the complete clinical data of 340 patients undergoing in vitro fertilization embryo transfer in the Department of Reproductive Medicine, Jingzhou Central Hospital from September 2016 to July 2018. These patients were divided into group A and B according to the luteal support program. We compared the clinical outcomes of the two corpus luteum preparations by comparing the laboratory parameters of the two groups of patients with clinical pregnancy indicators. Results: We found there was no significant difference in the results of general conditions in the two groups of patients, such as infertility age and duration, body mass index (BMI), basal follicle stimulating hormone (FSH), basal luteinizing hormone (LH), basal estrogen (E2) levels, the endometrial thickness, the number of transplanted high-quality embryos on the day of transplantation and so on (P > 0.05). We found that the implantation rate (32.55%), biochemical pregnancy rate (53.57%), and clinical pregnancy rate (51.78%) in group B were significantly higher than those in group A (25.26%, 35.11%, and 34.66%, respectively) (P < 0.05). We also found there is no significant difference in spontaneous abortion rate (15.30% vs 15.87%) and multiple pregnancy rate (13.61% vs 14.28%) between patients in group A and group B (P > 0.05). Conclusion: We conclude that patients who are scheduled for frozen embryo transfer use progesterone vaginal sustained release capsules combined with luteal progesterone luteal support, have improved clinical pregnancy rates.
TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise
Zhilin Zhang,Zhouyue Pi,Benyuan Liu
Computer Science , 2014, DOI: 10.1109/TBME.2014.2359372
Abstract: Heart rate monitoring using wrist-type photoplethysmographic (PPG) signals during subjects' intensive exercise is a difficult problem, since the signals are contaminated by extremely strong motion artifacts caused by subjects' hand movements. So far few works have studied this problem. In this work, a general framework, termed TROIKA, is proposed, which consists of signal decomposiTion for denoising, sparse signal RecOnstructIon for high-resolution spectrum estimation, and spectral peaK trAcking with verification. The TROIKA framework has high estimation accuracy and is robust to strong motion artifacts. Many variants can be straightforwardly derived from this framework. Experimental results on datasets recorded from 12 subjects during fast running at the peak speed of 15 km/hour showed that the average absolute error of heart rate estimation was 2.34 beat per minute (BPM), and the Pearson correlation between the estimates and the ground-truth of heart rate was 0.992. This framework is of great values to wearable devices such as smart-watches which use PPG signals to monitor heart rate for fitness.
Patient Life Experience and Activity of Daily Living before and after Total Knee Arthroplasty  [PDF]
Pi-Chu Lin, Kimie Fujita, Su-Yu Chang, Yo-Yi Liu
Open Journal of Nursing (OJN) , 2016, DOI: 10.4236/ojn.2016.69069
Abstract: Background: As the population ageing, more patients suffer from joint disease. Joint replacement surgery performed in Taiwan is about 10,000 to 20,000 cases yearly. Aims: The purpose of this study is to realize Total Knee Arthroplasty (TKA) patients’ views about life experiences and difficulty in daily life before and after the surgery. Methods: In this study, in-depth interview with interview guideline was used to analyze patients’ experience by using a qualitative research method, and questionnaires were used to collect quantity data. Results: 1) A total of 20 participants were recruited. Average age was 75.15 (SD = 6.468). Eighteen of the participants were female and the other two were male. The majority of participants indicated that their home facilities were convenient or very convenient. 2) Motivations of the participants to undergo TKA were joint pain, limited joint range of motion, and weakness in legs. Participants’ expectations after surgery were no more pain and ease in walking, and able to manage daily life. 3) Depending on the time after surgery, joint pain and walking ability had improved to some extent. The joint range of motion increased, but kneeling remained difficult, and the participants’ mood and exercise capacity were improved. Conclusions: The finding can be as a reference for clinical practitioner to provide preoperative education for total knee arthroplasty patients.
Detecting Pesticide Residue by Using Modulating Temperature Over a Single SnO2-Based Gas Sensor
Xingjiu Huang,Jinhuai Liu,Zongxin Pi,Zengliang Yu
Sensors , 2003, DOI: 10.3390/s30900361
Abstract: A new rapid detecting method (called dynamic measurements ) was reported to detect and distinguish the presence of two pesticide gases in the ambient atmosphere. The method employed only a single SnO2-based gas sensor in a rectangular temperature mode to perform the qualitative analysis of a binary gas mixture (acephate and trichlorphon) in air. Polar plots was used for quantitative analysis which the feature extraction was performed by FFT. Experimental results showed that high selectivity of the sensor achieved in the range of 250~3000C and modulating frequency 20mHz, one can easily observe the qualitative difference among the response to pure acephate and trichlorphon gases of the same concentration and to the mixture, and the concentration of pesticide gases can be obtained based on the changes of polar plots.
Degradation or excretion of quantum dots in mouse embryonic stem cells
Qing Pi, Wen Zhang, Guang Zhou, Wei Liu, Yilin Cao
BMC Biotechnology , 2010, DOI: 10.1186/1472-6750-10-36
Abstract: Mouse embryonic stem cells (ESCs) and mouse embryonic fibroblasts (MEFs) were labeled with QD 655. QD-labeling was monitored by fluorescence microscopy and flow cytometry for 72 hours. Both types of cells were labeled efficiently, but a quick loss of QD-labeling in ESCs was observed within 48 hours, which was not prevented by inhibiting cell proliferation. Transmission electron microscope analysis showed a dramatic decrease of QD number in vesicles of ESCs at 24 hours post-labeling, suggesting that QDs might be degraded. In addition, supernatants collected from labeled ESCs in culture were used to label cells again, indicating that some QDs were excreted from cells.This is the first study to demonstrate that the metabolism of QDs in different type of cells is different. QDs were quickly degraded or excreted from ESCs after labeling.A variety of cell labeling techniques and reagents have been developed, including organic dyes, radioactive reagents, ultra small iron, as well as fluorescent protein expression through genetic manipulation [1-5]. Each of these labeling methods has its own disadvantages, such as low intensity, short period of labeling time, and complicated procedures. Compared to these cell labeling tools, quantum dots (QDs) have been considered as a new and efficient probe for labeling cells non-invasively in vitro and in vivo [6-11]. QDs are a family of semiconductor nanocrystals that have broad excitation spectra and narrow emission spectra, which is ideal for multiplex imaging [7,8,12-15]. In addition, QDs have exceptional photostability which is ideal for live cell imaging. They have been used to label somatic cells, tumor cells, multipotent adult stem cells, as well as embryonic stem cells (ESCs) [6,7,15-18]. Studies have demonstrated that QDs can label cells in vitro and in vivo for long periods of time [6,7,17,19], while others have shown that the labeling time in stem cells was short [17]. Lin, S et al. revealed that mouse ESCs could be labeled w
Preliminary study of an intestinal bio-robot system based on nerve stimulation
Zhu Lan,Liu Hongying,Wang Zhenyu,Pi Xitian
Journal of NeuroEngineering and Rehabilitation , 2012, DOI: 10.1186/1743-0003-9-68
Abstract: Background Wireless capsule endoscopes for diagnosis and treatment in the gastrointestinal tract face the common problem of active actuation. To tackle this difficulty, a non-invasive intestinal bio-robot system with active actuation based on nerve stimulation was developed. Methods This intestinal inspection system utilized a natural organism—the mud eel—to serve as the locomotion mechanism, and it was controlled by a LabVIEW-programmed pulse generator. The exterior control unit was able to actively drive and remotely control the navigation and site-specific anchoring of the organism. Results Through in vitro stimulation experiments, a method of controlling the organism’s forward motion was obtained: when the organism was stimulated at the tail, it moved forward at a relatively fast speed and with high repeatability. The stimulator parameters were as follows: amplitude 1.85 μA, frequency 2 Hz, pulse duration 500 μs. Conclusions Since this is a preliminary study, considerable work remains to be done. However, the results could provide a solid theoretical basis for further research toward producing a practical intestinal bio-robot for the diagnosis and treatment of the gastrointestinal tract.
Dynamic Bayesian Networks for Audio-Visual Speech Recognition
Kevin Murphy,Xiaoxing Liu,Xiaobo Pi,Luhong Liang
EURASIP Journal on Advances in Signal Processing , 2002, DOI: 10.1155/s1687617202206083
Abstract: The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the need for features that are invariant to acoustic noise perturbation. As a result, current AVSR systems demonstrate significant accuracy improvements in environments affected by acoustic noise. In this paper, we describe the use of two statistical models for audio-visual integration, the coupled HMM (CHMM) and the factorial HMM (FHMM), and compare the performance of these models with the existing models used in speaker dependent audio-visual isolated word recognition. The statistical properties of both the CHMM and FHMM allow to model the state asynchrony of the audio and visual observation sequences while preserving their natural correlation over time. In our experiments, the CHMM performs best overall, outperforming all the existing models and the FHMM.
Internal mammary artery steal syndrome secondary to a para-IMA after coronary artery bypass graft: a case report
Internal mammary artery steal syndrome secondary to a para-IMA after coronary artery bypass graft: a case report

Jie Gao,Pi-Xiong Su,Yan Liu,
Jie Gao
,Pi-Xiong Su,Yan Liu

老年心脏病学杂志(英文版) , 2009,
Abstract: Introduction The use of the internal mammary artery (IMA) in coronary artery bypass graft(CABG) for myocardial revascularization is gaining popularity in routine practice,especially when the target vessel is the left anterior descending artery (LAD).Occasionally,IMA hypoperfusion occurs when there is inadequate flow through the IMA graft to the LAD artery due to the exist of lateral branches.4,5 The graft hypoperfusion can occur both acutely and chronically resulting inmaiperfusion syndrome and dysfunctional graft with persistent ischemia in the region of supply.
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