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Addressing the confounds of accompaniments in singer identification [article]

Tsung-Han Hsieh, Kai-Hsiang Cheng, Zhe-Cheng Fan, Yu-Ching Yang, Yi-Hsuan Yang
2020 arXiv   pre-print
Identifying singers is an important task with many applications. However, the task remains challenging due to many issues. One major issue is related to the confounding factors from the background instrumental music that is mixed with the vocals in music production. A singer identification model may learn to extract non-vocal related features from the instrumental part of the songs, if a singer only sings in certain musical contexts (e.g., genres). The model cannot therefore generalize well
more » ... the singer sings in unseen contexts. In this paper, we attempt to address this issue. Specifically, we employ open-unmix, an open source tool with state-of-the-art performance in source separation, to separate the vocal and instrumental tracks of music. We then investigate two means to train a singer identification model: by learning from the separated vocal only, or from an augmented set of data where we "shuffle-and-remix" the separated vocal tracks and instrumental tracks of different songs to artificially make the singers sing in different contexts. We also incorporate melodic features learned from the vocal melody contour for better performance. Evaluation results on a benchmark dataset called the artist20 shows that this data augmentation method greatly improves the accuracy of singer identification.
arXiv:2002.06817v1 fatcat:aleufy5aaffu3fyj7oguhraotm

Prognostic factors in resectable pathological N2 disease of non-small cell lung cancer

Ching-Yang Wu, Chen-Ping Hsieh, Jui-Ying Fu, Yun-Hen Liu, Cheng-Ta Yang, Ming-Ju Hsieh, Ying-Huang Tsai, Yi-Cheng Wu
2015 Biomedical Journal  
doi:10.4103/2319-4170.145765 pmid:25432594 fatcat:mzucyohbbfei7mwhi4ebr23424

A new measure of group decision-making efficiency

Cheng-Ju Hsieh, Mario Fifić, Cheng-Ta Yang
2020 Cognitive Research  
Ethics approval and consent to participate The ethics approval for the study was obtained from the Human Research Ethics Committee of National Cheng Kung University, and the experiment was conducted in  ...  , Altieri, & Little, 2018) , classification (Fific, Nosofsky, & Townsend, 2008) , change detection (Yang, 2011; Yang, Chang, & Wu, 2013; Yang, Hsu, Huang, & Yeh, 2011) , cued detection (Yang, Little  ...  , & Hsu, 2014; Yang, Wang, Chang, Yu, & Little, 2019) , word processing (Houpt, Sussman, Townsend, & Newman, 2015; Houpt, Townsend, & Donkin, 2014) , audiovisual processing (Altieri & Yang, 2016; Yang  ... 
doi:10.1186/s41235-020-00244-3 pmid:32940791 pmcid:PMC7498531 fatcat:3fhmwapdyrf6tfu5esg5agirlq

A production scheduling simulation model for improving production efficiency

Cheng-Liang Yang, Cheng-Chieh Hsieh, Zude Zhou
2014 Cogent Engineering  
Today's industrial world is the arena of competition between managers, industry owners and optimum methods for efficient utilization of resources in order to decrease the costs and increase productivity in production systems. Since the use of computer simulation as an efficient tool for analyzing the systems is not common in Iran, so this research try to provide a suitable context for using this tool widely in industries of Iran through a simulation experiment in Mahak Motlagh industrial
more » ... turing company. Collecting production rate data took 6 months demand then different methods of production were investigated. The result was extracting 8 methods for this purpose. Available information implied that production circulations are close together in each of those methods confirming production distribution function as normal. In order to confirm this fact, we used MINITAB, STATISTICAL software and distribution function of each production method were extracted. Then production simulation model was developed and real data were written using ENTERPRISE DYNAMICS and was run for 6 months. Through investigating the costs of each method and simulation model output, optimum synthesised model was selected. Finally the processes of validity confirmation of optimum simulation model were conducted using variances hypothesis test with 99.5% accuracy.
doi:10.1080/23311916.2014.950059 fatcat:l2pjbu7pzzfqdipatevdg3fcre

Detecting Potential Adverse Reactions of Sulpiride in Schizophrenic Patients by Prescription Sequence Symmetry Analysis

Edward Chia-Cheng Lai, Cheng-Yang Hsieh, Yea-Huei Kao Yang, Swu-Jane Lin, Xiang Yang Zhang
2014 PLoS ONE  
Ethics Statement The study was approved by the Institutional Review Board of National Cheng-Kung Univisity.  ... 
doi:10.1371/journal.pone.0089795 pmid:24587038 pmcid:PMC3937342 fatcat:spgjtigbzrepdgwkbf44elf4g4

Spinal RNF20-mediated histone H2B monoubiquitylation regulates mGluR5 transcription for neuropathic allodynia

Cheng-Yuan Lai, Ming-Chun Hsieh, Yu-Cheng Ho, Hsueh-Hsiao Wang, Dylan Chou, Yang-Cheng Wen, Po-Sheng Yang, Jen-Kun Cheng, Hsien-Yu Peng
2018 Journal of Neuroscience  
., October 24, 2018 • 38(43):9160 -9174 Lai, Hsieh et al. • RNF20/H2Bub/pRNAPII/mGluR5-Dependent Allodynia  ...  ., October 24, 2018 • 38(43):9160 -9174 Lai, Hsieh et al. • RNF20/H2Bub/pRNAPII/mGluR5-Dependent Allodynia • J.  ...  ., 2015b) , and TNF-␣ epigenetically modifies pain-associated gene transcription to support inflammatory hyperalgesia by activating RNAPII phosphorylation (Hsieh et al., 2017a) .  ... 
doi:10.1523/jneurosci.1069-18.2018 pmid:30201771 pmcid:PMC6705988 fatcat:6ematprmszcwbbsvdu76b2o7li

Prognostic factors in non-small cell lung cancer patients who received neoadjuvant therapy and curative resection

Chen-Ping Hsieh, Ming-Ju Hsieh, Ching-Feng Wu, Jui-Ying Fu, Yun-Hen Liu, Yi-Cheng Wu, Cheng-Ta Yang, Ching-Yang Wu
2016 Journal of Thoracic Disease  
Lung cancer is the leading cause of cancer deaths in the world, and more and more treatment modalities have been introduced in order to improve patients' survival. For patients with advanced non-small cell lung cancer (NSCLC), survival prognosis is poor and multimodality neoadjuvant therapies are given to improve patients' survival. However, the possibility of occult metastases may lead to discrepancy between clinical and pathologic staging and underestimation of the disease severity. This
more » ... epancy could be the reason for poor survival prediction reported by previous studies which conducted their analysis from the point of view of clinical stage. The aim of this study was to analyze the relationship between clinico-pathologic factors and survival from the pathologic point of view and to try to identify survival prognostic factors. Methods: From January 2005 to June 2011, 88 patients received neoadjuvant therapy because of initial locally advanced disease, followed by anatomic resection and mediastinal lymph node (LN) dissection. All their clinicopathologic data were collected from a retrospective review of the medical records and subjected to further analysis. Results: We found that total metastatic LN ratio (P=0.01) and tumor size (P=0.02) were predictive factors for disease free survival (DFS). We used these two prognostic factors to stratify all patients into four groups. Group 4 (tumor size ≤5, total metastatic LN ratio ≤0.065) had the best DFS curve, while the DFS curve progressively deteriorated across group 3 (tumor size ≤5, total metastatic LN ratio >0.065), group 2 (tumor size >5, total metastatic LN ratio ≤0.065) and group 1 (tumor size >5, total metastatic LN ratio >0.065). However, no definitive prognostic factor could be identified in this study. Conclusions: In conclusion, tumor size greater than 5 cm and total metastatic LN ratio greater than 0.065 could predict the DFS of patients with advanced NSCLC after multimodality therapies followed by surgical resection. Tumor size plays a more important role than total metastatic LN ratio in DFS. Moreover, patients identified with these factors need active post-operation surveillance and additional aggressive adjuvant therapies.
doi:10.21037/jtd.2016.05.57 pmid:27499934 pmcid:PMC4958790 fatcat:ry7m6iis5nftfa462z6bdsbuw4

Comparative persistence of antiepileptic drugs in patients with epilepsy

Edward Chia-Cheng Lai, Cheng-Yang Hsieh, Chien-Chou Su, Yea-Huei Kao Yang, Chin-Wei Huang, Swu-Jane Lin, Soko Setoguchi
2016 Medicine  
We compared persistence of antiepileptic drugs (AEDs) including carbamazepine, oxcarbazepine, gabapentin, lamotrigine, topiramate, valproic acid, and phenytoin in an Asian population with epilepsy. A retrospective cohort study was conducted by analyzing Taiwan's National Health Insurance Research Database (NHIRD). Adult epilepsy patients newly prescribed with AEDs between 2005 and 2009 were included. The primary outcome was persistence, defined as the treatment duration from the date of AED
more » ... iation to the date of AED discontinuation, switching, hospitalization due to seizure or disenrollment from databases, whichever came first. Cox proportional hazard models were used to estimate the risk of non-persistence with AEDs. Among the 13,061 new users of AED monotherapy (mean age: 58 years; 60% men), the persistence ranged from 218.8 (gabapentin) to 275.9 (oxcarbazepine) days in the first treatment year. The risks of non-persistence in patients receiving oxcarbazepine (adjusted hazard ratio [HR], 0.78; 95% CI, 0.74-0.83), valproic acid (0.88; 0.85-0.92), lamotrigine (0.72; 0.65-0.81), and topiramate (0.90; 0.82-0.98) were significantly lower than in the carbamazepine group. Compared with carbamazepine users, the non-persistence risk was higher in phenytoin users (1.10; 1.06-1.13), while gabapentin users (1.03; 0.98-1.09) had similar risk. For risk of hospitalization due to seizure and in comparison with carbamazepine users, oxcarbazepine (0.66; 0.58-0.74) and lamotrigine (0.46; 0.35-0.62) users had lower risk, while phenytoin (1.35; 1.26-1.44) users had higher risk. The results remained consistent throughout series of sensitivity and stratification analyses. The persistence varied among AEDs and was better for oxcarbazepine, valproic acid, lamotrigine, and topiramate, but worse for phenytoin when compared with carbamazepine. Abbreviations: AEDs = antiepileptic drug, DDD = defined daily dose, hdPS = high dimensional propensity score, ICD-9-CM =
doi:10.1097/md.0000000000004481 pmid:27583857 pmcid:PMC5008541 fatcat:ovuuybqojjfjpgrnia3mrsr2ye

Characterization Of The Dispersion Phenomenon In An Optical Biosensor

An-Shik Yang, Chin-Ting Kuo, Yung-Chun Yang, Wen-Hsin Hsieh, Chiang-Ho Cheng
2015 Zenodo  
In practice, COC is highly transparent, chemical-resistant and An-Shik Yang, Chin-Ting Kuo, Yung-Chun Yang, Wen-Hsin Hsieh, International Science Index, Mechanical  ...  Wen-Hsin Hsieh is with the Department of Mechanical Engineering, National Chung-Cheng University, Chiayi 621, Taiwan (phone: 886-5-2428170; fax: 886-5-2720589; e-mail:  ...  An-Shik Yang received his Bachelor of Science (1982) and Master of Science (1984) degrees from the National Tsing Hua University in Taiwan, and Ph.D. (1993) degree from the Pennsylvania State University  ... 
doi:10.5281/zenodo.1107035 fatcat:lyrkvqzx6fgrlglzl7hfrmflde

Pharmacologic Application Potentials of Sulfated Polysaccharide from Marine Algae

Joanne Katherine Talens Manlusoc, Chieh-Lun Hsieh, Cheng-Yang Hsieh, Ellen San Nicolas Salac, Ya-Ting Lee, Po-Wei Tsai
2019 Polymers  
With the advent of exploration in finding new sources for treating different diseases, one possible natural source is from marine algae. Having an array of potential benefits, researchers are interested in the components which comprise one of these activities. This can lead to the isolation of active compounds with biological activities, such as antioxidation of free radicals, anti-inflammation, antiproliferation of cancer cells, and anticoagulant to name a few. One of the compounds that are
more » ... lated from marine algae are sulfated polysaccharides (SPs). SPs are complex heterogenous natural polymers with an abundance found in different species of marine algae. Marine algae are known to be one of the most important sources of SPs, and depending on the species, its chemical structure varies. This variety has important physical and chemical components and functions which has gained the attention of researchers as this contributes to the many facets of its pharmacologic activity. In this review, recent pharmacologic application potentials and updates on the use of SPs from marine algae are discussed.
doi:10.3390/polym11071163 pmid:31288474 pmcid:PMC6680640 fatcat:anfmroy7m5ezjlw2suhgobanta

Early molecular events associated with nitrogen deficiency in rice seedling roots

Ping-Han Hsieh, Chia-Cheng Kan, Hsin-Yu Wu, Hsiu-Chun Yang, Ming-Hsiun Hsieh
2018 Scientific Reports  
Nitrogen (N) deficiency is one of the most common problems in rice. The symptoms of N deficiency are well documented, but the underlying molecular mechanisms are largely unknown in rice. Here, we studied the early molecular events associated with N starvation (−N, 1 h), focusing on amino acid analysis and identification of −N-regulated genes in rice roots. Interestingly, levels of glutamine rapidly decreased within 15 min of −N treatment, indicating that part of the N-deficient signals could be
more » ... mediated by glutamine. Transcriptome analysis revealed that genes involved in metabolism, plant hormone signal transduction (e.g. abscisic acid, auxin, and jasmonate), transporter activity, and oxidative stress responses were rapidly regulated by −N. Some of the −N-regulated genes encode transcription factors, protein kinases and protein phosphatases, which may be involved in the regulation of early −N responses in rice roots. Previously, we used similar approaches to identify glutamine-, glutamate-, and ammonium nitrate-responsive genes. Comparisons of the genes induced by different forms of N with the −N-regulated genes identified here have provided a catalog of potential N regulatory genes for further dissection of the N signaling pathwys in rice. Rice is a staple food for almost half of the world's population 1 . The production of rice, especially in Asian countries, is important in food security. The Green Revolution rice cultivars developed in 1960's, which constitute most of the rice varieties grown today, require large amounts of nitrogen (N) fertilizers to produce high yields 2 . However, the production of N fertilizer requires a lot of energy. Furthermore, only 20-30% of the applied N fertilizer is taken up by the rice plant 3,4 . Most of the N fertilizers applied to rice are lost to the air or water, which causes substantial environmental problems. Thus, the use of N fertilizer is costly to farmers and the environment. The current agricultural practices are not enconomically and environmentally sustainable. Therefore, considerable efforts have been directed toward improvement of N management and development of new rice varieties with better N use efficiency in the past decades to ensure sustainable agriculture 5-9 . Despite decades of study, the improvement of N use efficiency in crop plants is still one of the scientific "Grand Challenges" in the 21 st century. To face this challenge, we need to have a better understanding of the genetics behind N uptake, transport, metabolism, and remobilization in crop plants, especially when N is limited in the environment. Since N is a major constituent of amino acids, nucleic acids, chlorophyll, ATP, coenzymes, plant hormones, and secondary metabolites, N deficiency affects all aspects of plant function, from metabolism to resource allocation, growth and development 8-10 . To cope with N deficiency, plants have evolved complex morphological, physiological, and biochemical adaptaions to the adverse environments. For instance, plants will increase its capacity to acquire N by stimulating root growth relative to shoot growth in response to N deficiency 10 . The expression of high affinifity nitrate and ammonium transporter genes was induced by N starvation (−N) [11] [12] [13] . Furthermore, the remobilization of stored N and the release of ammonium via the biosynthesis of phenylpropanoids were stimulated by N deprivation 14, 15 . It is evident that plants have evolved regulatory systems to adjust metabolism, conserve resources and activate the acclimatory pathways enabling them to adapt to N-deficient conditions. Nevertheless, the molecular mechanisms underlying the N-deficient responses are still largely unknown in plants. Global gene expression profiling using microarrays or RNA sequencing (RNA-Seq) has been a successful approach to study the molecular aspects of nutrient and stress responses. For instance, microarrays were used in several studies to identify nitrate-responsive genes in Arabidopsis and rice [16] [17] [18] [19] [20] [21] [22] . Ammonium is believed to be the
doi:10.1038/s41598-018-30632-1 pmid:30111825 pmcid:PMC6093901 fatcat:23x3mxtkxjbrhfbt3n2gpcjuxm

Taiwan's National Health Insurance Research Database: past and future

Cheng-Yang Hsieh, Chien-Chou Su, Shih-Chieh Shao, Sheng-Feng Sung, Swu-Jane Lin, Yea-Huei Yang Kao, Edward Chia-Cheng Lai
2019 Clinical Epidemiology  
The authors thank Health Data Science Center, National Cheng Kung University Hospital for providing administrative support.  ...  Hsieh et al Dovepress submit your manuscript | DovePress Clinical Epidemiology 2019:11 Table 1 1 Databases in the health and welfare databases center A.  ...  Report of the home care subsidy user condition survey • Report of the survey of requirement conditions of senior citizens welfare organizations in Taiwan • Other 12 released survey data Hsieh  ... 
doi:10.2147/clep.s196293 pmid:31118821 pmcid:PMC6509937 fatcat:zq2ahcz3y5bmpf5modlgv3lmiy


Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, John P. Pollak, Nicola Dell, Serge Belongie, Curtis Cole, Deborah Estrin
2017 ACM Transactions on Information Systems  
Yang et al. Table 2 . 2 Average time to complete training phase. # Iter: 5 # Iter: 10 # Iter: 15 28.75s 39.74s 53.22s 6.1.3 User qualitative feedback.  ...  Yang et al. Table 6 . 6 Average Acceptance Rates (Avg. Acc.), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) between two systems. Paired t-test p-value (Avg.  ... 
doi:10.1145/3072614 pmid:30464375 pmcid:PMC6242282 fatcat:vecetywpu5cw3njwnfs3m4anze

Dynamic attachment of HepG2 in fractal microchannels

Lung-Jieh Yang, Jia-Chi Liang, Cheng-Yang Liu, Hsieh-Cheng Han
2014 The 9th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)  
Dynamic filling experiments using HepG2 tumor cells are performed for observing the attachment behavior novelly in fractal microchannels. A PDMS microchannel mimicking the capillary blood vessel with fractal configuration is fabricated by the gelatin salt-out technique and the PDMS soft lithography. The fabrication of this low-toxicity fractal PDMS microchannel is firstly addressed herein. Using this PDMS microchannel, PBS with living HepG2 tumor cells are filled through. The cell attachment
more » ... as in the PDMS microchannel have been recorded dynamically with 10 min interval continuously for 2 hours. The result show that 2 hour is not enough for the permanent cell attachment of HepG2 in this fractal PDMS microchannel.
doi:10.1109/nems.2014.6908757 fatcat:blkfuautzncpvnh6h4t4kjbkqq

Islander: A Real-Time News Monitoring and Analysis System [article]

Chao-Wei Huang, Kai-Chou Yang, Zi-Yuan Chen, Hao-Chien Cheng, Po-Yu Wu, Yu-Yang Huang, Chung-Kai Hsieh, Geng-Zhi Wildsky Fann, Ting-Yin Cheng, Ethan Tu, Yun-Nung Chen
2022 arXiv   pre-print
With thousands of news articles from hundreds of sources distributed and shared every day, news consumption and information acquisition have been increasingly difficult for readers. Additionally, the content of news articles is becoming catchy or even inciting to attract readership, harming the accuracy of news reporting. We present Islander, an online news analyzing system. The system allows users to browse trending topics with articles from multiple sources and perspectives. We define several
more » ... metrics as proxies for news quality, and develop algorithms for automatic estimation. The quality estimation results are delivered through a web interface to newsreaders for easy access to news and information. The website is publicly available at
arXiv:2204.11457v1 fatcat:bf26b3oue5hoblqwhwa3xi33jq
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