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      • KCI등재

        Effects of a simulation-based blended training model on nurses’ treatment decision-related knowledge about oral cancer in Taiwan: a pilot survey

        Chia-Chang Huang,Shiau-Shian Huang,Ying-Ying Yang,Shou-Yen Kao 한국보건의료인국가시험원 2021 보건의료교육평가 Vol.18 No.-

        The present study aimed to evaluate the effects of virtual reality (VR) simulations combined with bedside assignments on nurses’ self-efficacy in providing pre-treatment educational services. Between March 2019 and November 2020, we conducted a study of VR educational materials that were developed to cover information about the treatment of oral cancers. The effects of the VR simulation, the thinking-path tracking map method, and bedside assignments on the nurses’ treatment decision-related knowledge were evaluated in a ward for oral cancer patients at Taipei Veterans General Hospital, Taipei, Taiwan. The blended training model significantly increased nurses’ familiarity (P<0.01) and confidence (P<0.03) regarding their knowledge of treatments and treatment decision-related knowledge. This model also significantly increased their confidence in their skills in bedside pre-treatment education for admitted oral cancer patients (P<0.002). Oral cancer-specific VR materials enhanced the effectiveness of skills training among nurses in the oral cancer ward.

      • SCIESCOPUSKCI등재
      • High-Performance Bottom-Contact Organic Thin-Film Transistors Based on Benzo[<i>d</i>,<i>d</i>′]thieno[3,2-<i>b</i>;4,5-<i>b</i>′]dithiophenes (BTDTs) Derivatives

        Huang, Peng-Yi,Chen, Liang-Hsiang,Kim, Choongik,Chang, Hsiu-Chieh,Liang, You-jhih,Feng, Chieh-Yuan,Yeh, Chia-Ming,Ho, Jia-Chong,Lee, Cheng-Chung,Chen, Ming-Chou American Chemical Society 2012 ACS APPLIED MATERIALS & INTERFACES Vol.4 No.12

        <P>Three benzo[<I>d</I>,<I>d</I>′]thieno[3,2-<I>b</I>;4,5-<I>b</I>′]dithiophene (<B>BTDT</B>) derivatives, end-functionalized with benzothiophenyl (<B>BT-BTDT</B>; <B>2</B>), benzothieno[3,2-b]thiophenyl (<B>BTT-BTDT</B>; 3), and benzo[<I>d</I>,<I>d</I>′]thieno[3,2-<I>b</I>;4,5-<I>b</I>′]dithiophenyl (<B>BBTDT</B>; <B>4</B>), were prepared for bottom-contact/bottom-gate organic thin-film transistors (OTFTs). An improved one-pot [2 + 1 + 1] synthetic method of <B>BTDT</B> with improved synthetic yield was achieved, which enabled the efficient realization of new <B>BTDT</B>-based semiconductors. All of the <B>BTDT</B> compounds exhibited high performance p-channel characteristics with carrier mobilities as high as 0.34 cm<SUP>2</SUP>/(V s) and a current on/off ratio of 1 × 10<SUP>7</SUP>, as well as enhanced ambient stability. The device characteristics have been correlated with the film morphologies and microstructures of the corresponding compounds.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/aamick/2012/aamick.2012.4.issue-12/am3022448/production/images/medium/am-2012-022448_0010.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/am3022448'>ACS Electronic Supporting Info</A></P>

      • KCI등재

        Transaxillary Capsulorrhaphy with Reimplantation to Correct Bottoming-Out Deformity in Breast Mycobacterial Periprosthetic Infection: A Case Report with Literature Review

        Huang Tsung-Chun,Lee Jian-Jr,Yang Kuo-Hui,Chou Chia-Huei,Chang Yu-Chen 대한성형외과학회 2023 Archives of Plastic Surgery Vol.50 No.6

        Augmentation mammoplasty is one of the most popular cosmetic surgeries, but there is a high reoperation rate (29.7%) commonly due to capsular contracture, implant malpositioning, infection, and unsatisfactory size. Although infection only accounts for 2% of cases, its management is very challenging, especially with nontuberculous mycobacteria (NTM) infection. Breast prosthetic NTM infection is a rare but is a disastrous condition with an incidence of approximately 0.013%. Immediate salvage reimplantation is usually not suggested, and most studies recommend a gap of 3 to 6 months after combination antibiotics therapy before reimplantation. However, delayed reimplantation often leads to great psychological stress and struggle between the doctor and patient. We present the case report of successful reimplantation in treating prosthetic NTM infections in a 28-year-old female. We discuss a novel technique “transaxillary capsulorrhaphy” to correct the bottoming-out deformity. One year after the combination of antibiotics and surgery, the follow-up computed tomography scan showed complete remission of NTM without recurrence. We discuss the surgical technique in detail. The 1-year follow-up assessment (photos and dynamic video) revealed good cosmesis and reliable correction using the new technique. This report is the first formal description and discussion of one-stage reimplantation following NTM infections. Transaxillary capsulorrhaphy allows for a successful salvage operation when an implant is displaced. This approach provides highly favorable result in eastern women undergoing revision augmentation mammoplasty. This study reflects level of evidence V, considering opinions of respected authorities based on clinical experience, descriptive studies, or reports of expert committees.

      • KCI등재

        Comparative global immune-related gene profiling of somatic cells, human pluripotent stem cells and their derivatives: implication for human lymphocyte proliferation

        Chia-Eng Wu,Chen-Wei Yu,Kai-Wei Chang,Wen-Hsi Chou,Chen-Yu Lu,Elisa Ghelfi,Fang-Chun Wu,Pey-Shynan Jan,Mei-Chi Huang,Patrick Allard,Shau-Ping Lin,Hong-Nerng Ho,Hsin-Fu Chen 생화학분자생물학회 2017 Experimental and molecular medicine Vol.49 No.-

        Human pluripotent stem cells (hPSCs), including embryonic stem cells (ESCs) and induced PSCs (iPSCs), represent potentially unlimited cell sources for clinical applications. Previous studies have suggested that hPSCs may benefit from immune privilege and limited immunogenicity, as reflected by the reduced expression of major histocompatibility complex class-related molecules. Here we investigated the global immune-related gene expression profiles of human ESCs, hiPSCs and somatic cells and identified candidate immune-related genes that may alter their immunogenicity. The expression levels of global immune-related genes were determined by comparing undifferentiated and differentiated stem cells and three types of human somatic cells: dermal papilla cells, ovarian granulosa cells and foreskin fibroblast cells. We identified the differentially expressed genes CD24, GATA3, PROM1, THBS2, LY96, IFIT3, CXCR4, IL1R1, FGFR3, IDO1 and KDR, which overlapped with selected immune-related gene lists. In further analyses, mammalian target of rapamycin complex (mTOR) signaling was investigated in the differentiated stem cells following treatment with rapamycin and lentiviral transduction with specific short-hairpin RNAs. We found that the inhibition of mTOR signal pathways significantly downregulated the immunogenicity of differentiated stem cells. We also tested the immune responses induced in differentiated stem cells by mixed lymphocyte reactions. We found that CD24- and GATA3-deficient differentiated stem cells including neural lineage cells had limited abilities to activate human lymphocytes. By analyzing the transcriptome signature of immune-related genes, we observed a tendency of the hPSCs to differentiate toward an immune cell phenotype. Taken together, these data identify candidate immune-related genes that might constitute valuable targets for clinical applications.

      • KCI등재

        Delay of Surgery for Spinal Metastasis due to the COVID-19 Outbreak Affected Patient Outcomes

        Chia-Jung Hsieh,Chun-Yu Wu,Yen-Heng Lin,Yu-Cheng Huang,Wen-Chi Yang,Tom Wei-Wu Chen,Wei-Li Ma,Wei-Hsin Lin,Feng-Ming Hsu,Furen Xiao,Shih-Hung Yang,Dar-Ming Lai,Chang-Mu Chen,Shin-Yi Chao,Fon-Yih Tsuan 대한척추신경외과학회 2023 Neurospine Vol.20 No.4

        Objective: The present study is to analyze the effects of the coronavirus disease 2019 (COVID 2019) outbreak and the subsequent lockdown on the outcomes of spinal metastasis patients. Methods: The study was a retrospective analysis of data from a prospective cohort study. All patients underwent surgical intervention for spinal metastases between January 2019 and December 2021 and had at least 3 months of postoperative follow-up. The primary outcome was overall mortality during the 4 different stages (pre-COVID-19 era, COVID-19 pandemic except in Taiwan, national lockdown, lifting of the lockdown). The secondary outcomes were the oncological severity scores, medical/surgical accessibility, and patient functional outcome during the 4 periods as well as survival/mortality. Results: A total of 233 patients were included. The overall mortality rate was 41.20%. During the Taiwan lockdown, more patients received palliative surgery than other surgical methods, and no total en bloc spondylectomy was performed. The time from surgeon visit to operation was approximately doubled after the COVID-19 outbreak in Taiwan (75.97, 86.63, 168.79, and 166.91 hours in the 4 periods, respectively). The estimated survival probability was highest after the national lockdown was lifted and lowest during the lockdown. In the multivariate analysis, increased risk of mortality was observed with delay of surgery, with emergency surgery having a higher risk with delays above 33 hours, urgent surgery (below 59 and above 111 hours), and elective surgery (above 332 hours). Conclusion: The COVID-19 pandemic and related policies have altered daily clinical practice and negatively impacted the survival of patients with spinal metastases.

      • KCI등재

        Myricetin Inhibits the Release of Glutamate in Rat Cerebrocortical Nerve Terminals

        Yi Chang,Chia-Ying Chang,Su-Jane Wang,Shu-Kuei Huang 한국식품영양과학회 2015 Journal of medicinal food Vol.18 No.5

        The excessive release of glutamate is a critical element in the neuropathology of acute and chronic brain disorders. The purpose of the present study was to investigate the effect and possible mechanism of myricetin, a naturally occurring flavonoid with a neuroprotective profile, on endogenous glutamate release in the nerve terminals (synaptosomes) of the rat cerebral cortex. The release of glutamate was evoked by the K+ channel blocker 4-aminopyridine (4-AP) and measured by one-line enzyme-coupled fluorometric assay. We also used a membrane potential-sensitive dye to assay the synaptosomal plasma membrane potential, and a Ca2 + indicator Fura-2 to monitor cytosolic Ca2 + concentrations ([Ca2 + ]C). Results show that myricetin inhibited 4-AP-evoked glutamate release, and this effect was prevented by chelating extracellular Ca2 + ions and the vesicular transporter inhibitor bafilomycin A1. However, the glutamate transporter inhibitor dl-threo-beta-benzyl-oxyaspartate had no effect on myricetin action. Myricetin did not alter the synaptosomal membrane potential, but decreased 4-APinduced increases in the cytosolic free Ca2 + concentration. Furthermore, the myricetin effect on 4-AP-evoked glutamate release was prevented by blocking the Cav2.2 (N-type) and Cav2.1 (P/Q-type) channels, but not by blocking intracellular Ca2 + release. These results suggest that myricetin inhibits glutamate release from cerebrocortical synaptosomes by attenuating voltage-dependent Ca2 + entry. This implies that the inhibition of glutamate release is an important pharmacological activity of myricetin that may play a critical role in the apparent clinical efficacy of this compound.

      • SHM data anomaly classification using machine learning strategies: A comparative study

        Shieh-Kung Huang,Jau-Yu Chou,Yuguang Fu,Chia-Ming Chang 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1

        Various monitoring systems have been implemented in civil infrastructure to ensure structural safety and integrity. In long-term monitoring, these systems generate a large amount of data, where anomalies are not unusual and can pose unique challenges for structural health monitoring applications, such as system identification and damage detection. Therefore, developing efficient techniques is quite essential to recognize the anomalies in monitoring data. In this study, several machine learning techniques are explored and implemented to detect and classify various types of data anomalies. A field dataset, which consists of one month long acceleration data obtained from a long-span cable-stayed bridge in China, is employed to examine the machine learning techniques for automated data anomaly detection. These techniques include the statistic-based pattern recognition network, spectrogram-based convolutional neural network, image-based time history convolutional neural network, image-based time-frequency hybrid convolution neural network (GoogLeNet), and proposed ensemble neural network model. The ensemble model deliberately combines different machine learning models to enhance anomaly classification performance. The results show that all these techniques can successfully detect and classify six types of data anomalies (i.e., missing, minor, outlier, square, trend, drift). Moreover, both image-based time history convolutional neural network and GoogLeNet are further investigated for the capability of autonomous online anomaly classification and found to effectively classify anomalies with decent performance. As seen in comparison with accuracy, the proposed ensemble neural network model outperforms the other three machine learning techniques. This study also evaluates the proposed ensemble neural network model to a blind test dataset. As found in the results, this ensemble model is effective for data anomaly detection and applicable for the signal characteristics changing over time.

      • KCI등재

        The Association of Acquired T790M Mutation with Clinical Characteristics after Resistance to First-Line Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor in Lung Adenocarcinoma

        Yen-Hsiang Huang,Kuo-Hsuan Hsu,Jeng-Sen Tseng,Kun-Chieh Chen,Chia-Hung Hsu,Kang-Yi Su,Jeremy J. W. Chen,Huei-Wen Chen,Sung-Liang Yu,Tsung-Ying Yang,Gee-Chen Chang 대한암학회 2018 Cancer Research and Treatment Vol.50 No.4

        Purpose The main objective of this study was to investigate the relationship among the clinical characteristics and the frequency of T790M mutation in advanced epidermal growth factor receptor (EGFR)mutant lung adenocarcinoma patients with acquired resistance after firstline EGFRtyrosine kinase inhibitor (TKI) treatment. Materials and Methods We enrolled EGFR-mutant stage IIIB-IV lung adenocarcinoma patients, who had progressed to prior EGFR-TKI therapy, and evaluated their rebiopsy EGFRmutation status. Results A total of 205 patients were enrolled for analysis. The overall T790M mutation rate of rebiopsy was 46.3%. The T790M mutation rates among patients with exon 19 deletion mutation, exon 21 L858R point mutation, and other mutations were 55.0%, 37.3%, and 27.3%, respectively. Baseline exon 19 deletion was associated with a significantly higher frequency of T790M mutation (adjusted odds ratio, 2.14; 95% confidence interval [CI], 1.20 to 3.83; p=0.010). In the exon 19 deletion subgroup, there was a greater prevalence of T790M mutation than other exon 19 deletion subtypes in patients with the Del E746-A750 mutation (61.6% vs. 40.6%; odds ratio, 2.35; 95% CI, 1.01 to 5.49; p=0.049). The progression- free survival (PFS) of first-line TKI treatment > 11 months was also associated with a higher T790M mutation rate (54.1% vs. 39.3%; adjusted odds ratio, 1.82; 95% CI, 1.02 to 3.25; p=0.044). Patients who underwent rebiopsy at metastatic sites had more chance to harbor T790M mutation (52.6% vs. 33.8%; adjusted odds ratio, 1.97; 95% CI, 1.06 to 3.67; p=0.032). Conclusion PFS of first-line EGFR-TKI, rebiopsy site, EGFR exon 19 deletion and its subtype Del E746- A750 mutation are associated with the frequency of T790M mutation.

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