Acute exacerbation of psychiatric symptoms during influenza treatment with oseltamivir in chronic schizophrenia

AbstractInfluenza treatment and prophylaxis with oseltamivir are critically important in reducing the morbidity and mortality of patients in chronic psychiatric facilities. Abnormal behavior, delusions, perceptual disturbances, mania, and depression have all been reported as oseltamivir-related psychiatric side effects. We hereby report two chronic schizophrenia patients in Taiwan manifesting psychiatric instability who were being treated with oseltamivir for suspected influenza infection, and further discuss other potential contributing factors. The possibility that oseltamivir can cause psychotic or affective symptoms suggests that additional caution is necessary for its use in patients with an established psychiatric diagnosis

A fool proof carrier design for front access storage expansion board

Storage applications, by their very nature, need an expansion hardware to consolidate more hard drives to a controller. Typically the expansion hardware is designed as an independent printed circuit board and connect to the hard drive backplane in the opposite side of hard drives. When the system is installed in the rack, it requires users to move the whole system box from the position in order to open the lid. It also requires users to power off the system before disconnect the expansion board from the hard drive backplane

Collaborative science inquiry with the CoSci virtual lab

The CoSci Virtual Lab (https://cosci.tw/), standing for “Collaboration” and “Science Learning”, is developed by Professor Chen-Chung Liu (National Central University), Emeritus Professor Fu-Kwun Hwang (National Taiwan Normal University) and Professor Francisco Esquembre (Universidad de Murcia). The CoSci Virtual Lab allows students to conduct physics experiment collaboratively and to explore and examine their science ideas with more than 100 physics simulations. Intended Audience: University and Secondary-School Educator

Revisiting the problem of audio-based hit song prediction using convolutional neural networks

Being able to predict whether a song can be a hit has impor- tant applications in the music industry. Although it is true that the popularity of a song can be greatly affected by exter- nal factors such as social and commercial influences, to which degree audio features computed from musical signals (whom we regard as internal factors) can predict song popularity is an interesting research question on its own. Motivated by the recent success of deep learning techniques, we attempt to ex- tend previous work on hit song prediction by jointly learning the audio features and prediction models using deep learning. Specifically, we experiment with a convolutional neural net- work model that takes the primitive mel-spectrogram as the input for feature learning, a more advanced JYnet model that uses an external song dataset for supervised pre-training and auto-tagging, and the combination of these two models. We also consider the inception model to characterize audio infor- mation in different scales. Our experiments suggest that deep structures are indeed more accurate than shallow structures in predicting the popularity of either Chinese or Western Pop songs in Taiwan. We also use the tags predicted by JYnet to gain insights into the result of different models.Comment: To appear in the proceedings of 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP

Management of Tuberculosis in Taiwan:A Look into the Shared Responsibilities of the Government, General Public and Medical Students

Tuberculosis (TB) is a deadly infectious disease worldwide due to its high incidenceand mortality rate. Its impact on Taiwan is no exception. This paper aims to examineeffectiveness of national policies on TB control, assess public awareness, and evaluatewhether involvement of medical students would have a positive effect towards TBcontrol in Taiwan.Literatures were first reviewed to assess effectiveness of Directly Observed Treatment,Short-course (DOTS). Although there is limited improvement in treatment success inTaiwan, there is an overall positive effect.Questionnaires designed to assess public knowledge and behaviors revealedinadequate public knowledge about DOTS, which could have led to the lack ofdistinct success in the national policy. Healthcare workshops were conducted by medical students, with survey resultsshowing a significant improvement in participants’ knowledge. Thus, medicalstudents are recommended to engage in healthcare activities to effectively aid TBcontrol.