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Li-Chin Chen,Chun-Chih Lin,Chin-Yen Han,Chun-Lan Hsieh,Chiung-Jung (Jo) Wu,Hwey-Fang Liang 한국간호과학회 2018 Asian Nursing Research Vol.12 No.1
Purpose: This study aims to gain in-depth understanding of nurses' perspectives of working in an overcrowded emergency. Methods: Symbolic interactionism and Charmaz’s construction of grounded theory were used. Purposive sampling at the start of the study and a further theoretical sampling by snowball technique were used to recruit 40 registered nurses (RN) to participate in in-depth, semi-structured interviews betweenMay and November, 2014. Data analysis included analytic techniques of initial, focused and theoretical coding. Results: Study findings showed searching for work role is derived by the themes of Finding the role of positioning in Emergency Department (ED), Recognizing causes of ED overcrowding, and Confined working environment. Nurses' work experience which represents the RNs not gained control over their work, as care actions influenced by the problematic overcrowded circumstance of the ED environment. Conclusion: The findings fill a gap in knowledge about how RNs experience their work role in the context of an overcrowded Emergency Department in Taiwan. Arising from the study result include taking account of nurses' perspectives when planning staff/patient ratios, strategies to reduce waiting time and ensure that clients receive appropriate care.
A Comparison of Different Vocabulary Learning Strategy Use between EFL and CSL Learners
( Chin Min Lin ),( Chi Ta Wu ),( Li Chin Chen ) 전북대학교 인문학연구소 2014 건지인문학 Vol.12 No.-
This research aims to compare the similarity and difference in vocabulary strategy use between EFL and CSL learners. There were 217 subjects in Taiwan participated in this study. Vocabulary Learning Strategy Inventory was conducted to identify the strategies for both EFL and CSL learners used to learn English vocabulary or Chinese characters. SPSS is employed to analyze the data collected. The results showed that two of the strategies used by EFL and CSL learners are different and the other 16 strategies used are the same. The outcome revealed that vocabulary learning is similar across these two languages. Thus EFL and CSL teachers can facilitate learners to apply their first language vocabulary learning strategies and transfer those to second/foreign language learning. In the meantime, teachers ought to pay attention to the fundamental differences between the two languages to help learners to seize the vocabulary learning strategies based on the language features specifically.
A Data Hiding Scheme Based on Turtle-shell for AMBTC Compressed Images
( Chin-feng Lee ),( Chin-chen Chang ),( Guan-long Li ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.6
Data hiding technology hides secret information into the carrier, so that when the carrier is transmitted over network, it will not attract any malicious attention. Using data compression, it is possible to reduce the data size into a small compressed code, which can effectively reduce the time when transmitting compressed code on the network. In this paper, the main objective is to effectively combine these two technologies. We designed a data hiding scheme based on two techniques which are turtle-shell information hiding scheme and absolute moment block truncation coding. The experimental results showed that the proposed scheme provided higher embedding capacity and better image quality than other hiding schemes which were based on absolute moment block truncation coding.
Reversible and High-Capacity Data Hiding in High Quality Medical Images
( Li-chin Huang ),( Min-shiang Hwang ),( Lin-yu Tseng ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.1
Via the Internet, the information infrastructure of modern health care has already established medical information systems to share electronic health records among patients and health care providers. Data hiding plays an important role to protect medical images. Because modern medical devices have improved, high resolutions of medical images are provided to detect early diseases. The high quality medical images are used to recognize complicated anatomical structures such as soft tissues, muscles, and internal organs to support diagnosis of diseases. For instance, 16-bit depth medical images will provide 65,536 discrete levels to show more details of anatomical structures. In general, the feature of low utilization rate of intensity in 16-bit depth will be utilized to handle overflow/underflow problem. Nowadays, most of data hiding algorithms are still experimenting on 8-bit depth medical images. We proposed a novel reversible data hiding scheme testing on 16-bit depth CT and MRI medical image. And the peak point and zero point of a histogram are applied to embed secret message k bits without salt-and-pepper.
Combined Assessment of Serum Alpha-Synuclein and Rab35 is a Better Biomarker for Parkinson’s Disease
Hung-Li Wang,Chin-Song Lu,Tu-Hsueh Yeh,Yu-Ming Shen,Yi-Hsin Weng,Ying-Zu Huang,Rou-Shayn Chen,Yu-Chuan Liu,Yi-Chuan Cheng,Hsiu-Chen Chang,Ying-Ling Chen,Yu-Jie Chen,Yan-Wei Lin,Chia Chen Hsu,Huang-Li 대한신경과학회 2019 Journal of Clinical Neurology Vol.15 No.4
Background and Purpose It is essential to develop a reliable predictive serum biomarker for Parkinson’s disease (PD). Te accumulation of alpha-synuclein (αSyn) and up-regulated expression of Rab35 participate in the etiology of PD. Te purpose of this investigation was to determine whether the combined assessment of serum αSyn and Rab35 is a useful predictive biomarker for PD. Methods Serum levels of αSyn or Rab35 were determined in serum samples from 59 sporadic PD patients, 19 progressive supranuclear palsy (PSP) patients, 20 multiple system atrophy (MSA) patients, and 60 normal controls (NC). Receiver operating characteristics (ROC) curves were calculated to determine the diagnostic accuracy of αSyn or/and Rab35 in discriminating PD patients from NC or atypical parkinsonian patients. Results The levels of αSyn and Rab35 were increased in PD patients. The serum level of Rab35 was positively correlated with that of αSyn in PD patients. Compared to analyzing αSyn or Rab35 alone, the combined analysis of αSyn and Rab35 produced a larger area under the ROC curve and performed better in discriminating PD patients from NC, MSA patients, or PSP patients. When age was dichotomized at 55, 60, 65, or 70 years, the combined assessment of αSyn and Rab35 for classifying PD was better in the group below the cutof age than in the group above the cutof age. Conclusions Combined assessment of serum αSyn and Rab35 is a better biomarker for discriminating PD patients from NC or atypical parkinsonian patients, and is a useful predictive biomarker for younger sporadic PD patients.
An Optimized CLBP Descriptor Based on a Scalable Block Size for Texture Classification
( Jianjun Li ),( Susu Fan ),( Zhihui Wang ),( Haojie Li ),( Chin-chen Chang ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.1
In this paper, we propose an optimized algorithm for texture classification by computing a completed modeling of the local binary pattern (CLBP) instead of the traditional LBP of a scalable block size in an image. First, we show that the CLBP descriptor is a better representative than LBP by extracting more information from an image. Second, the CLBP features of scalable block size of an image has an adaptive capability in representing both gross and detailed features of an image and thus it is suitable for image texture classification. This paper successfully implements a machine learning scheme by applying the CLBP features of a scalable size to the Support Vector Machine (SVM) classifier. The proposed scheme has been evaluated on Outex and CUReT databases, and the evaluation result shows that the proposed approach achieves an improved recognition rate compared to the previous research results.
A Common Bitmap Block Truncation Coding for Color Images Based on Binary Ant Colony Optimization
( Zhihong Li ),( Qiang Jin ),( Chin-chen Chang ),( Li Liu ),( Anhong Wang ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.5
For the compression of color images, a common bitmap usually is generated to replace the three individual bitmaps that originate from block truncation coding (BTC) of the R, G and B channels. However, common bitmaps generated by some traditional schemes are not the best possible because they do not consider the minimized distortion of the entire color image. In this paper, we propose a near-optimized common bitmap scheme for BTC using Binary Ant Colony Optimization (BACO), producing a BACO-BTC scheme. First, the color image is compressed by the BTC algorithm to get three individual bitmaps, and three pairs of quantization values for the R, G, and B channels. Second, a near-optimized common bitmap is generated with minimized distortion of the entire color image based on the idea of BACO. Finally, the color image is reconstructed easily by the corresponding quantization values according to the common bitmap. The experimental results confirmed that reconstructed image of the proposed scheme has better visual quality and less computational complexity than the referenced schemes.