2,601 research outputs found
CCDC 983461: Experimental Crystal Structure Determination
No full textRelated Article: Feng Li Laughlin , Nihal Deligonul , Arnold L. Rheingold , James A. Golen , Brynna J. Laughlin , Rhett C. Smith , and John D. Protasiewicz|2013|Organometallics|32|7116|doi:10.1021/om400838g,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
CCDC 983462: Experimental Crystal Structure Determination
No full textRelated Article: Feng Li Laughlin , Nihal Deligonul , Arnold L. Rheingold , James A. Golen , Brynna J. Laughlin , Rhett C. Smith , and John D. Protasiewicz|2013|Organometallics|32|7116|doi:10.1021/om400838g,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
CCDC 983460: Experimental Crystal Structure Determination
No full textRelated Article: Feng Li Laughlin , Nihal Deligonul , Arnold L. Rheingold , James A. Golen , Brynna J. Laughlin , Rhett C. Smith , and John D. Protasiewicz|2013|Organometallics|32|7116|doi:10.1021/om400838g,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
Environment-dependent edge reconstruction of transition metal dichalcogenides: a global search
Get PDFThe properties of an edge of a transition metal dichalcogenide (TMDC) sensitively depend on its atomic structure; therefore, knowing the exact structure is a precondition for predicting the applications of TMDC, such as in catalysis. Although some edge reconstructions of TMDCs have been reported in previous studies, a global search of TMDC edge structures and calculations of their stabilities are still absent. Here, we propose an approach to explore all possible edge reconstructions of a monolayer TMDC by employing the particle swarm optimization algorithm and first-principles calculations. Taking the most studied TMDC material, MoS2, as a representative, we have built a database of the edge structures of TMDCs. Including the five experimentally observed edges, the thirty-four most stable edges with various sulfur concentrations are predicted for the first time. The most stable edge structures of 1H-MoS2 in different environments along both the armchair and zigzag directions have been predicted and agree well with experimental observations. A specific edge of 1H-MoS2 in the database can be stabilized by modulating the chemical composition of the atoms, which offers an efficient way to tune the properties of TMDC nanostructures, such as TMDC quantum dots and/or nanoribbons. (C) 2020 The Author(s). Published by Elsevier Ltd
Generalized Abstracted Mean Values
No full textIn this article, the author introduces the generalized abstracted mean values which extend the concepts of most means with two variables, and researches their basic properties and monotonicities
The Divorce
Get PDFThis thesis is the work of our collaboration. Throughout the writing are narrations from both Feng Xingyue and Liu Yuan that tell the entire creative process of our work. These narrations work as a timeline and thread together our work and research. We are collaborating artists and partners in life who have worked with each other for many years. China’s social issues are our interest points. This article can be divided into three parts: the history of marriage, marriage in China and its problems, and our Divorce project, an art piece that includes a Chinese wedding ceremony.Everyday lif
British English Cued Speech--interspeech 2019
No full textThe first British English CS dataset is recorded for this work in Cued Speech UK association without using any artificial mark,
and it is also the first one especially for the continuous recognition in British English CS. A professional CS interpreter (with
no hearing impairment) is asked to simultaneously utter and encode a set of 97 British English sentences (e.g., I feel it is a time
to move to a new chapter in my career). There are totally 907 monophthongs and 138 diphthongs in the dataset. Color video
images of the interpreter’s upper body are recorded at 25 fps, with a spatial resolution of 720x1280.
If you use this dataset, please cite the following:
@inproceedings{Liu2019,
author={Li Liu and Jianze Li and Gang Feng and Xiao-Ping Zhang},
title={{Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech}},
year=2019,
booktitle={Proc. Interspeech 2019},
pages={2285--2289},
doi={10.21437/Interspeech.2019-2353},
url={http://dx.doi.org/10.21437/Interspeech.2019-2353}
}</pre
Nan Song Shuzhou gong du yi jian zheng li yu yan jiu Zheng li yu yan jiu
No full textBen shu shi dui wo she yu 1990 nian chu ban de ying yin ben "Song ren yi jian" de zheng li yu yan jiu. Gai shu shi liao feng fu, she ji zheng zhi, jing ji, jun shi yi ji Song dai gong wen ge shi he shu yi, shi zhen gui de shi wu wen xian. "Song ren yi jian" fan ying le bu shao nan Song shi qi di fang guan fu ji gou she zhi he xing zheng guan li zhi du, bu chong le xu duo Song dai cai zheng, shui shou zheng ce de xin cai liao, bao liu le nan Song chu nian Jiang Huai di qu zhan bei zhuang kuang de xi jie cai liao, hai shi Song dai wen shu zhi du de zhong yao cai liao, you zhu yu Song shi yan jiu de shen ru. Zheng li ben yan jin gui fan, ge shi ming xi, ji ben huan yuan le Song jian tu ban de ben lai mian mao, ju you jiao qiang de can kao jia zh
Graph Convolutional Recurrent Neural Network for Body Surface Potential Maps
No full text<h1>Graph Convolutional Recurrent Neural Network (GCRNN) for Body Surface Potential Maps</h1>
<div>Python code and data for "Non-invasive identification of single-atrial drivers and inter-atrial macro-reentries in atrial fibrillation using a graph convolutional recurrent neural network" (Yingjing Feng et al., under review). If you use the code please cite this software.</div>
<div>Author: Yingjing Feng </div>
<div> </div>
<h2>Input data</h2>
<ul>
<li>data/bspm_AFs_new.npy: BSPMs (252 x T) of each of 2973 episodes.</li>
<li>data/vest_and_torso.pts: array of the 3D positions of vest electrodes (first 252 nodes) + torso point cloud.</li>
<li>data/labels.npy: Labels (4 x T) of <em>ActiveCA_LA, ActiveCA_RA, PassiveCA_LA, and PassiveCA_LA</em> events for each of 2973 episodes.</li>
</ul>
<h2>Main code</h2>
<ul>
<li>train_crnn_network.py: Main function for running a conventional Convolution Recurrent Neural Network (CRNN).</li>
<li>train_gcrnn_network: Main function for running our proposed Graph Convolution Recurrent Neural Network (GCRNN). </li>
</ul>
<h2>Project structure</h2>
<ul>
<li>data/: input data</li>
<li>P_DNN/: deep learning code
<ul>
<li>dnn_dataset.py and gnn_dataset.py: Torch dataset for CRNN (CNN+RNN) and GCRNN (GCNN+RNN), respectively.</li>
<li>crnn.py: Architecture for CNN and RNN.</li>
<li>graphnn.py: Architecture for GCNN.</li>
</ul>
</li>
<li>utils/: utility code</li>
<li>runs/ and outputs/: folders to store the intermediate steps and the models after training.</li>
</ul>
<h2>Key dependencies</h2>
<ul>
<li>numpy 1.24.3</li>
<li>tqdm</li>
<li>torch 1.13.0</li>
<li>torch_geometric 2.2.0</li>
<li>scikit-learn 1.0.2</li>
<li>Python 3.9</li>
<li>pandas 2.1.1</li>
<li>statsmodel 0.14.0</li>
</ul>
[[alternative]]Internaltional students' adjustment in Taiwan
No full text[[abstract]]International students' adjustment in Taiwan.
By Feng-Lee Li
Abstract
This study was sought to examine the adjustment problems that international students encounter in Taiwan. The cross-sectional survey research method was used in the study. Three national universities with international students in Taipei region were randomly selected, and 184 valid samples were collected with a self-administrated questionnaire. The methods used to analyze the data were t-test, One-way ANOVA, Pearson's product-moment correlation, and Multiple Regression. The major findings of this study were as follows:
1.The major stress found in the subjects in the past six months was school events; the most command coping strategy that the subjects have used to face their stress is logistic thinking and positive emotion; and the main social support source for them is their friends, specially valid in emotional support.
2.The higher the level of stress faced, the more negative coping strategies were used by the subjects; the better the social support system that the subjects have, the more positive coping strategies they used in the past six months.
3.The higher the level of stress was examined, the worse forms of adjustment were found; when more positive coping strategies were used, a better level of adjustment was detected.
4.Sex, age, nationality, life stress, coping and social support were predictable variables of adjustment for the subjects.
Base on the findings of the study, related suggestions for further study is brought to administrators, educators and researchers in chapter 5.
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