Chung Yuan Christian University

About: Chung Yuan Christian University is a education organization based out in Taoyuan City, Taiwan. It is known for research contribution in the topics: Membrane & Fuzzy logic. The organization has 9819 authors who have published 11623 publications receiving 213139 citations. The organization is also known as: Tiong-gôan-tāi-ha̍k & CYCU.

The effect of yoga on sleep quality and insomnia in women with sleep problems: a systematic review and meta-analysis

Abstract: To examine the effectiveness and safety of yoga of women with sleep problems by performing a systematic review and meta-analysis. Medline/PubMed, ClinicalKey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June, 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), or objective instruments such as polysomnography, actigraphy, and safety of the intervention. For each outcome, a standardized mean difference (SMD) and confidence intervals (CIs) of 95% were determined. Nineteen studies in this systematic review included 1832 participants. The meta-analysis of the combined data conducted according to Comprehensive Meta-Analysis showed a significant improvement in sleep (SMD = − 0.327, 95% CI = − 0.506 to − 0.148, P < 0.001). Meta-analyses revealed positive effects of yoga using PSQI scores in 16 randomized control trials (RCTs), compared with the control group in improving sleep quality among women using PSQI (SMD = − 0.54; 95% CI = − 0.89 to − 0.19; P = 0.003). However, three RCTs revealed no effects of yoga compared to the control group in reducing insomnia among women using ISI (SMD = − 0.13; 95% CI = − 0.74 to 0.48; P = 0.69). Seven RCTs revealed no evidence for effects of yoga compared with the control group in improving sleep quality for women with breast cancer using PSQI (SMD = − 0.15; 95% CI = − 0.31 to 0.01; P = 0.5). Four RCTs revealed no evidence for the effects of yoga compared with the control group in improving the sleep quality for peri/postmenopausal women using PSQI (SMD = − 0.31; 95% CI = − 0.95 to 0.33; P = 0.34). Yoga was not associated with any serious adverse events. This systematic review and meta-analysis demonstrated that yoga intervention in women can be beneficial when compared to non-active control conditions in term of managing sleep problems. The moderator analyses suggest that participants in the non-breast cancer subgroup and participants in the non-peri/postmenopausal subgroup were associated with greater benefits, with a direct correlation of total class time with quality of sleep among other related benefits.

A secure data hiding technique with heterogeneous data-combining capability for electronic patient records

Abstract: It is an enabling technology to transmit electronic patient records (EPR) across distances to hospitals and countries through the Internet. However, since EPR is a highly personal medical documentation, transmission of secure EPR is required to reduce the risk of security breach on the network and prevent accessing of data by unauthorized end-users. Here, the authors propose a bi-polar multiple-base data hiding technique, where a pixel value difference between an original image and its default JPEG (Joint Photographic Experts Group) lossy decompressed image is taken to be a number conversion base. The authors hide doctors' digital seals and the EPR data within a still image by using this approach. The still image could be the mark of a hospital to identify where the EPR comes from. The doctors' digital seals are essential to the authentication of EPR. A diagnostic report and a biomedical signal such as an electrocardiogram (ECG) can also be hidden in the image. The proposed approach allows multiple data types to be hidden in the same image. All the data can be separated and restored perfectly by the intended users. In addition, the proposed data hiding technique has higher peak signal to noise ratio than that of using default JPEG alone. Thus, the transparency of the hidden image and the invisibility of the EPR data are guaranteed.

Characterizing Free Volumes and Layer Structures in Asymmetric Thin-Film Polymeric Membranes in the Wet Condition Using the Variable Monoenergy Slow Positron Beam

Abstract: The free volume sizes and distributions and multilayer structures in asymmetric thin layer polyamide membranes in the wet state have been first time measured using the variable monoenergy slow positron beam (VMSPB). This paper presents a newly developed method which combines the technique of plasma-enhanced chemical vapor deposition to form a barrier layer for high-vacuum condition to seal the composite polyamide and of interfacial polymerization between 2-aminoethanethiol (AETH) and trimesoyl chloride (TMC) on the surface of modified asymmetric polyacrylonitrile (mPAN) membrane (AETH-TMC/mPAN), under the wet condition encountered during the pervaporation process in which they are in direct contact with the liquid environment provided by the feed solution. During the VMSPB experiments under a high vacuum, our new method maintained the thin-film composite (TFC) membrane in the wet conditions typically experienced in VMSPB experiments wherein it directly contacts the liquid feed environment, which is essent...

Current-mode lowpass, bandpass and highpass biquads using two CCIIs

Abstract: Two current-mode second-order filter configurations which employ two second-generation current conveyors (CCIIs) and can realise lowpass and bandpass filter responses for one and highpass and bandpass filter responses for the other are presented. The proposed networks offer the following advantageous features: orthogonal control of ωo, and Q, use of only two grounded capacitors which make the networks ideal for integration, no requirement for critical matching condition/cancellation constraints, and low passive senitivities.

Robust control of linear synchronous motor servodrive using disturbance observer and recurrent neural network compensator

Abstract: Robust control of a permanent magnet (PM) linear synchronous motor (LSM) servodrive is achieved by using a disturbance observer and a recurrent neural network (RNN) compensator. An integral-proportional (IP) controller is introduced to control the mover position of the LSM. The IP position controller is designed according to the estimated mover parameters to match the time-domain command tracking specifications. A disturbance observer is implemented and the observed disturbance force is fed forward to increase the robustness of the LSM servodrive. Moreover, to increase the control performance of the LSM servodrive under the occurrence of large disturbance, a RNN compensator is proposed to reduce the influence of parameter variations and external disturbances of the LSM servodrive system as a force controller. In addition, a dynamic backpropagation algorithm is developed to train the RNN online using the delta adaptation law. The effectiveness of the proposed control schemes is demonstrated by some simulated and experimental results.