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Search Results: 1 - 10 of 78422 matches for " Yuting Chen "
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Yuting Chen,Jianzhuang Jiang
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811009457
Abstract: The title compound, C20H18BF2N3, contains one C9BN2 (Bodipy) framework and one cyanobenzyl group. The Bodipy framework is essentially planar with a maximum deviation of 0.041 (2) . The introduction of two methyl groups at positions 1 and 7 of s-indacene in the Bodipy unit results in almost orthogonal configuration between the mean plane of the Bodipy unit and the cyanobenzyl group [dihedral angle = 89.78 (4)°].
Literature Review of Strategic Transformation—Based on the Literature Supported by the National Natural Science Fund and the National Social Science Fund of China  [PDF]
Yuting Wu
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.82015
Abstract: Chinese enterprises have entered to the speed competition instead of the scale competition; the enterprises can match with the dynamic environment better through strategic transformation. In this paper, we selected 51 literatures about enterprise strategic transformation from the “national natural science fund” and “national social science fund”, and based on this 51 literatures, we analyze these literatures in terms of the concept, motivation, transformation process and the result of strategic transformation, analyze the current research situation and research deficiencies of the existing research, prospect the future research, in order to provide guidance to Chinese enterprises and scholars.
A Novel Visual Word Co-occurrence Model for Person Re-identification
Ziming Zhang,Yuting Chen,Venkatesh Saligrama
Computer Science , 2014,
Abstract: Person re-identification aims to maintain the identity of an individual in diverse locations through different non-overlapping camera views. The problem is fundamentally challenging due to appearance variations resulting from differing poses, illumination and configurations of camera views. To deal with these difficulties, we propose a novel visual word co-occurrence model. We first map each pixel of an image to a visual word using a codebook, which is learned in an unsupervised manner. The appearance transformation between camera views is encoded by a co-occurrence matrix of visual word joint distributions in probe and gallery images. Our appearance model naturally accounts for spatial similarities and variations caused by pose, illumination & configuration change across camera views. Linear SVMs are then trained as classifiers using these co-occurrence descriptors. On the VIPeR and CUHK Campus benchmark datasets, our method achieves 83.86% and 85.49% at rank-15 on the Cumulative Match Characteristic (CMC) curves, and beats the state-of-the-art results by 10.44% and 22.27%.
Supervised Hashing with Deep Neural Networks
Ziming Zhang,Yuting Chen,Venkatesh Saligrama
Computer Science , 2015,
Abstract: In this paper, we propose training very deep neural networks (DNNs) for supervised learning of hash codes. Existing methods in this context train relatively "shallow" networks limited by the issues arising in back propagation (\eg vanishing gradients) as well as computational efficiency. We propose a novel and efficient training algorithm inspired by alternating direction method of multipliers (ADMM) that overcomes some of these limitations. Our method decomposes the training process into independent layer-wise local updates through auxiliary variables. Empirically we observe that our training algorithm always converges and its computational complexity is linearly proportional to the number of edges in the networks. Empirically we manage to train DNNs with 64 hidden layers and 1024 nodes per layer for supervised hashing in about 3 hours using a single GPU. Our proposed very deep supervised hashing (VDSH) method significantly outperforms the state-of-the-art on several benchmark datasets.
Group Membership Prediction
Ziming Zhang,Yuting Chen,Venkatesh Saligrama
Statistics , 2015,
Abstract: The group membership prediction (GMP) problem involves predicting whether or not a collection of instances share a certain semantic property. For instance, in kinship verification given a collection of images, the goal is to predict whether or not they share a {\it familial} relationship. In this context we propose a novel probability model and introduce latent {\em view-specific} and {\em view-shared} random variables to jointly account for the view-specific appearance and cross-view similarities among data instances. Our model posits that data from each view is independent conditioned on the shared variables. This postulate leads to a parametric probability model that decomposes group membership likelihood into a tensor product of data-independent parameters and data-dependent factors. We propose learning the data-independent parameters in a discriminative way with bilinear classifiers, and test our prediction algorithm on challenging visual recognition tasks such as multi-camera person re-identification and kinship verification. On most benchmark datasets, our method can significantly outperform the current state-of-the-art.
Study on Carbon Nanocomposite Counterelectrode for Dye-Sensitized Solar Cells
Yiming Chen,Haiyan Zhang,Yuting Chen,Jiapeng Lin
Journal of Nanomaterials , 2012, DOI: 10.1155/2012/601736
Abstract: Carbon nanocomposite electrodes were prepared by adding carbon nanotubes (CNTs) into carbon black as counterelectrodes of dye-sensitized solar cells(DSSCs). The morphology and structure of carbon nanocomposite electrodes were studied by scanning electron microscopy. The influence of CNTs on the electrochemical performance of carbon nanocomposite electrodes is investigated by cyclic voltammetry and electrochemical impedance spectroscopy. Carbon nano composite electrodes with CNTs exhibit a highly interconnected network structure with high electrical conductivity and good catalytic activity. The influence of different CNTs content in carbon nanocomposite electrodes on the open-circuit voltage, short-circuit current, and filling factor of DSSCs is also investigated. DSSCs with 10% CNTs content exhibit the best photovoltaic performance in our experiments.
PARP-1 Val762Ala Polymorphism Is Associated with Risk of Cervical Carcinoma
Feng Ye, Qi Cheng, Yuting Hu, Jing Zhang, Huaizeng Chen
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0037446
Abstract: PARP-1 is a nuclear enzyme that plays an important role in DNA repair, recombination, proliferation and the genome stability. The PARP-1 Val762Ala polymorphism has been associated with increased risk of developing cancers of the prostate, esophagus and lung. The aim of this study was to determine whether the PARP-1 Val762Ala polymorphism is associated with the risk of cervical carcinoma. MA-PCR was used to genotype the PARP-1 Val762Ala polymorphism in 539 women with cervical carcinoma, 480 women with CIN and 800 controls. The genotyping method was confirmed by the DNA sequencing analysis. The PARP-1 Val762Ala polymorphism was not associated with the risk of CIN. However, women carrying the PARP-1 Ala762Ala genotype were significantly susceptible to cervical carcinoma (OR: 2.70, 95% CI: 1.47–3.70), and the similar results were also found in squamous cell carcinoma (OR: 2.56, 95% CI: 1.47–3.70). In HPV positive population, the PARP-1 Ala762Ala genotype was also associated with increased risk of cervical carcinoma (OR: 5.56, 95% CI: 2.08–14.3). Our results indicate that the PARP-1 Ala762Ala genotype increases the risk of cervical carcinoma.
Effects of Maternal Dietary Treatment with Dehydroepiandrosterone on Lipid Metabolism Parameters in Offspring Broilers
Yuting Zhang,Juan Chen,Haitian Ma,Sixiang Zou
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.4332.4339
Abstract: To explore the effects of maternal dietary treatments with Dehydroepiandrosterone (DHEA) on lipid metabolism this study investigated lipid parameters and related hormones in the offspring broilers. Seventy five female broilers were allocated into 3 groups and they were provided with a commercial diet supplemented with DHEA at 0, 25 or 50 mg kg-1 diet. Eggs were collected after DHEA treatment and incubated at 37.5°C and a relative humidity of 60%. Broiler offspring were fed the same basal diets from 1-42 days. The results showed that the body weight was decreased (p<0.05) at 21 day in all DHEA treatment group while a decrease was observed with 25 mg kg-1 DHEA treatment in male offspring broilers at 42 day (p<0.05). The daily gain and feed/gain were decreased with DHEA treatment during 1-3 weeks in offspring broilers (p<0.05). The Percent of Liver (PL) and Percent of Abdominal Fat (PAF) were decreased (p<0.05) in male offspring broilers in all DHEA treatment groups and the Percent of Thigh Muscle (PTM) and Percent of Breast Muscle (PBM) were increased in male offspring broilers with 50 mg kg-1 DHEA treatment. The content of hepatic Triglycerides (TG) was decreased with 50 mg kg-1 DHEA in male offspring broilers while the level of serum TG was increased (p<0.05). The concentration of Non-Esterified Fatty Acid (NEFA) was higher with 25 mg kg-1 DHEA treatment in both male and female offspring broilers as compared to the control group (p<0.05). An increase in serum Triiodothyronine (T3) and a decrease in serum Thyroxin (T4) were observed in all experimental groups with supplement maternal DHEA (p<0.05), except in female offspring broilers from 50 mg kg-1 DHEA maternal-fed birds. Also, 25 mg kg-1 DHEA supplement enhanced the serum Glucagon (GLU) concentration in male offspring broilers and 50 mg kg-1 DHEA could increased the leptin level in female offspring broilers. Overall, the results of this study indicated that maternal Dietary DHEA would be beneficial in decreasing abdominal lipid deposition in offspring broilers.
3,5-Dimethyl-1-(2-pyridylcarbonyl)-5-[(2-pyridylcarbonyl)hydrazino]-2-pyrazoline methanol hemisolvate
Yuting Chen,Hua Yang,Dacheng Li,Daqi Wang
Acta Crystallographica Section E , 2008, DOI: 10.1107/s1600536808027335
Abstract: The title compound, C17H18N6O2·0.5CH3OH, exists in the double keto form and adopts a highly puckered geometry, stabilized by intramolecular N—H...O and N—H...N hydrogen bonds. Intermolecular N—H...N hydrogen bonds and π–π stacking interactions [centroid–centroid separation = 3.654 (1) ] assemble the molecules into chains running in the [111] direction. The methanol solvent molecule is disordered over two sites related by inversion and forms a bifurcated O—H...(N,O) hydrogen bond.
Diaqua-2κ2O-bis(μ-1-oxido-2-naphthoato)-1:2κ3O1,O2:O2′;2:3κ3O2:O1,O2′-bis(1-oxido-2-naphthoato)-1κ1O2,O2;3κ2O1,O2-hexapyridine-1κ2N,2κ2N,3κ2N-trimanganese(II/III) pyridine disolvate dihydrate
Hua Yang,Yuting Chen,Dacheng Li,Daqi Wang
Acta Crystallographica Section E , 2008, DOI: 10.1107/s1600536808038439
Abstract: The title complex, [Mn3(C11H6O3)4(C5H5N)6(H2O)2]·2H2O·2C5H5N, is a trinuclear mixed oxidation state complex of overline1 symmetry. The three Mn atoms are six-coordinated in the shape of distorted octahedra, each coordinated with an O4N2 set of donor atoms, where the ligands exhibit mono- and bidentate modes. However, the coordination of the MnII ion located on the inversion centre involves water molecules at two coordination sites, whereas that of the two symmetry-related MnIII ions involves an O4N2 set of donor atoms orginating from the organic ligands. Intramolecular C—H...π interactions between neighbouring pyridine ligands stabilize this arrangement. A two-dimensional network parallel to (001) is formed by intermolecular O—H...O hydrogen bonds.
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