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Effects of Mold Growth on Building Materials by Different Environments in Taiwan
An Cheng,Yu Hsin,Wei-Ting Lin 대한토목학회 2014 KSCE Journal of Civil Engineering Vol.18 No.4
The main of study is to investigate the effect of moisture variation and micro-structure on the growth mold at surface of buildingmaterials. The two different water-cement ratio of mortars (w/c = 0.4, 0.6), brick and tiles were used in this study. The mercuryIntrusion Porosity-Meter (MIP) was used to determine the pore distribution of building materials. The moisture variation of materialswas recorded in constant climate chamber (25oC, relative humidity 80%), general indoor environment (28oC, relative humidity 55%)and water damage simulation environment. The results indicated that the pore size and distribution will affect the surface water ratioand moisture content of materials. The surface water ratio of specimen was affected by different environment seriously. The surfacewater ratio was an important factor in mold growth.
Kang Zhi‐Wei,Liu Fang‐Hua,Xu Yong‐Yu,Cheng Jia‐Hui,Lin Xiao‐Li,Jing Xiang‐Feng,Tian Hong‐Gang,Liu Tong‐Xian 한국곤충학회 2021 Entomological Research Vol.51 No.1
Odorant‐degrading enzymes (ODEs) have been found in insect antennae and play a critical role in signal chemical degradation once the message is conveyed. Significant progress has been made in characterizing ODEs in a variety of pests but very little is known in their natural enemies. We have carried out an antennae‐ and sex‐specific transcriptome of Aphidius gifuensis, a natural enemy of aphid, to identify the candidate ODEs. Based on the antennae‐ and sex‐specific transcriptome, a total of 100 putative ODEs were identified including one aldehyde oxidase (AOX), four alcohol dehydrogenases (ADs), eight UDP‐glucuronosyltransferases (UGTs), 45 cytochrome P450 (P450s), nine glutathione S‐transferases (GSTs) and 40 carboxylesterases (CCEs or CXEs). Additionally, we used RT‐qPCR to determine the expression profiles of these genes in tissues of both sexes. Based on the phylogenic analysis and tissue‐expression patterns, AgifEstE4, AgifCXE3, AgifCCE4, AgifCCE7, and AgifCCE18 were suggested as key ODEs in A. gifuensis. In addition, the female or male specifically enriched genes, such as AgifCCE17, AgifEstB1, AgifCYP18a1, AgifUGT2C2, were also considered to involve in the chemosensory processing in A. gifuensis. This study not only identified the candidate ODEs in A. gifuensis but also provided source for further exploration of the molecular mechanisms of chemical signal transductions in A. gifuensis, as well as other hymenopteran species.
Occult Interpositional Rotator Cuff - an Extremely Rare Case of Traumatic Rotator Cuff Tear
Cheng-Li Lin,Wei-Ren Su,I-Ming Jou,Wei-Hsing Chih 대한영상의학회 2012 Korean Journal of Radiology Vol.13 No.1
Traumatic interposition of a rotator cuff tendon in the glenohumeral joint without recognizable glenohumeral dislocation is an unusual complication after shoulder trauma. Here we report the clinical and imaging presentations of a 17-year-old man with trapped rotator cuff tendons in the glenohumeral joint after a bicycle accident. The possible trauma mechanism is also discussed.
Wei-Che Lin,Wen-Chieh Chen,Pei-Wen Wang,Yi-Chia Chan,Yen-Hsiang Chang,Harn-Shen Chen,Szu-Tah Chen,Wei-Chih Chen,Kai-Lun Cheng,Shun-Yu Chi,Pi-Ling Chiang,Chen-Kai Chou,Feng-Fu Chou,Shun-Chen Huang,Feng 대한초음파의학회 2023 ULTRASONOGRAPHY Vol.42 No.3
Radiofrequency ablation (RFA) is a minimally invasive management strategy that has been widely applied for benign and recurrent malignant thyroid lesions as an alternative to surgery in Taiwan. Members of academic societies for specialists in interventional radiology, endocrinology, and endocrine surgery collaborated to develop the first consensus regarding thyroid RFA in Taiwan. The modified Delphi method was used to reach a consensus. Based on a comprehensive review of recent and valuable literature and expert opinions, the recommendations included indications, pre-procedural evaluations, procedural techniques, post-procedural monitoring, efficacy, and safety, providing a comprehensive review of the application of RFA. The consensus effectively consolidates advice regarding thyroid RFA in clinical practice for local experts.
Hydration of DCPD over sulfonic acid-functionalized SBA-15 catalyst
Yu-Cheng Lin,Yu-Wei Huang,Ku-Hsiang Sung,Tsung-Han Lin,Soofin Cheng 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.44 No.-
Sulfonic acid-functionalized SBA-15 materials (SA-SBA-15) with ordered channeling pores weresynthesized by one-pot co-condensation and used to catalyze the hydration of dicyclopentadiene(DCPD). The target product, cydecanol (DCPD-OH) has been used as a modifier for polyester or alkydresin. Propylsulfonic acid functionalized SBA-15 was found to be more efficient than the silica gelcounterpart or arylsulfonic acid functionalized material in catalyzing DCPD hydration to yield DCPD-OH. The DCPD conversion and DCPD-OH yield increased with the decrease in H2O/DCPD ratio. Optimal DCPDconversion and DCPD-OH selectivity were obtained with the molar composition of DCPD:H2O:H+[1TD$DIF]-catalyst = 1:30:0.1.
Smart monitoring system with multi-criteria decision using a feature based computer vision technique
Chih-Wei Lin,Wen-Ko Hsu,Dung-Jiang Chiou,Cheng-Wu Chen,Wei-Ling Chiang 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.6
When natural disasters occur, including earthquakes, tsunamis, and debris flows, they are often accompanied by various types of damages such as the collapse of buildings, broken bridges and roads, and the destruction of natural scenery. Natural disaster detection and warning is an important issue which could help to reduce the incidence of serious damage to life and property as well as provide information for search and rescue afterwards. In this study, we propose a novel computer vision technique for debris flow detection which is feature-based that can be used to construct a debris flow event warning system. The landscape is composed of various elements, including trees, rocks, and buildings which are characterized by their features, shapes, positions, and colors. Unlike the traditional methods, our analysis relies on changes in the natural scenery which influence changes to the features. The “background module” and “monitoring module” procedures are designed and used to detect debris flows and construct an event warning system. The multi-criteria decision-making method used to construct an event warring system includes gradient information and the percentage of variation of the features. To prove the feasibility of the proposed method for detecting debris flows, some real cases of debris flows are analyzed. The natural environment is simulated and an event warning system is constructed to warn of debris flows. Debris flows are successfully detected using these two procedures, by analyzing the variation in the detected features and the matched feature. The feasibility of the event warning system is proven using the simulation method. Therefore, the feature based method is found to be useful for detecting debris flows and the event warning system is triggered when debris flows occur.
Advanced Imaging of Nanometer-Scale Recorded Bits on Super-Resolution Near-Field Optical Disk
Pei Lin Yang,Din Ping Tsai,Cheng Wei Lin,Chih Ching Hsu,Pei Hsin Chang,Tsung Sheng Kao,Wei Chih Lin 한국물리학회 2005 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.47 No.1
An advanced imaging technique is demonstrated for fast, non-destructive and high resolution characterizations for nanometer-scale recorded bits on a super-resolution near-field optical disk (super-RENS). For the first time, an array of individual 100 nm recorded marks is imaged and studied by using the conductive-atomic force microscopy (C-AFM) method. Discussions also include comparisons of 300 nm, 200 nm and 100 nm recorded marks on both a super-RENS disk and a commercial DVD disk, and the image results are evidence of the high carrier-to-noise ratio (CNR) value on the super-RENS disk, even though the mark size has been shrunk to less than the diffraction limit.
Yu-Jia Lin,Hsiao-Ting Chang,Ming-Hwai Lin,Ru-Yih Chen,Ping-Jen Chen,Wen-Yuan Lin,Jyh-Gang Hsieh,Ying-Wei Wang,Chung-Chieh Hu,Yi-Sheng Liou,Tai-Yuan Chiu,Chun-Yi Tu,Yi-Jen Wang,Bo-Ren Cheng,Tzeng-Ji Ch 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.2
Background: Medical staff may have difficulties in using conventional medicine to manage symptoms among terminally ill patients, including adverse effects of the treatment. Traditional Chinese medicine (TCM) is regarded as a complementary or alternative medicine, and has been increasingly used in the field of palliative medicine in recent years. This study aimed to investigate the experiences of and attitudes toward using TCM among palliative care professionals, and to provide preliminary information about its use in palliative care. Methods: This was a cross-sectional survey study conducted in eight inpatient hospice wards in Taiwan between December 2014 and February 2016. The questionnaire was self-administered, and was analyzed with descriptive statistics including Pearson’s Chi-square test and Fisher’s exact test. Results: A total of 251 palliative care professionals responded to the questionnaire, of whom 89.7% and 88.9% believed that the use of TCM could improve the physical symptoms and quality of life in terminally ill patients, respectively. Overall, 59.8%, of respondents suggested that TCM had rare side effects, and 58.2% were worried that TCM could affect the liver and kidney function of patients. In total, 89.7% and 88.0% of professionals agreed there were no suitable clinical practice guidelines and educational programs, respectively, for TCM use in palliative care. Conclusions: Most of the respondents agreed there was insufficient knowledge, skills-training, and continuing education on the use of TCM in terminally ill patients in Taiwan. These results show that to address patient safety considerations, guidelines about use of TCM in palliative care should be established.
A Feature-based Tumor Detection for MRI Breast Imaging
Guo-Shiang Lin,Sin-Kuo Daniel Chai,Wei-Cheng Yeh,Lin-Jie Cheng 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, we propose a feature-based scheme composed of the intra-slice, texture and inter-slice analyses to achieve tumor region identification in MRI breast images. Our intra-slice analysis evaluates the intensity and size information of candidate regions. To find a precise region, a region growing algorithm is proposed based on ellipse fitness. In the texture analysis, some texture features are extracted and combined with a neural network to reduce the false alarms. The inter-slice analysis is based on the continuity characteristic to verify the static behavior of tumor regions. The experimental results show that our proposed scheme can correctly identify tumor regions.