322 research outputs found
The Economic Value of Sangiran Museum, Central Java, Indonesia Application of Travel Cost Method
No full textThis research is an application travel cost method (TCM) at Sangiran Museum which aims to estimate the total value of
benefit for visitors Sangiran Museum, willingness to pay (WTP) visitors to the activities of the addition of new facilities at the
Sangiran Museum and analysed factors that affect the significant impact on the level of visits per 1000 population per year to the
Sangiran Museum. This sample size was 180 people, the election is done by way of probability sampling. The results of this study
indicate that the total value of benefits at Sangiran Museum admission fee is equal to zero for Rp. 728,013,743.7 (USD 80,890.42),
while the total value of benefits per year, Sangiran Museum in admission rates applicable to Rp. 300,- (USD 0.03) to
Rp. 532,788,743.7,- (USD 59,198.75). Magnitude average maximum willingness to pay (WTP) of visitors to the activities of the
addition of new facilities at the Sangiran Museum is Rp. 11,102.63 (USD 1.23). Form of empirical model functions best in this study is
the log-log form. The results of regression analysis showed that the variable cost of travel (LnTC), education (LnEDC), income
(LnNC), distance (LnDIS) and age (LnAGE) significantly affect the level of significance level of 5% of visits per 1000 population per
annum (LnV) the Sangiran Museum.
Keywords— Travel cost method; total benefits; willingness to pay; Sangiran Museum
Tropical cyclone motion and recurvature in TCM-90
No full textSeptember 1992.Also issued as author's thesis (M.S.) -- Colorado State University, 1992.Rawinsonde and satellite data collected during tie Tropical Cyclone Motion (TCM- 90) experiment, which was conducted during the summer of 1990 in the Western North Pacific, is used to examine tropical cyclone steering motion and recurvature. TCM-90 composite results a.re compared with those found in a previous composite study using twenty-one years (1957-77) of Western North Pacific rawinsonde data during the same August- September period and also for August-September months during this same 21- year period. Both data sets indicate that the composite deep-layer-mean (850-300 mb) winds 5-7° from the cyclone center provide an important component of the steering flow for tropical cyclones. However, despite the rawinsonde data enhancements of the TCM-90 experiment, data limitations prevented an accurate observation of steering flow conditions at individual time periods or for the average of only 5-10 time periods when composited together. Examination of environmental wind fields surrounding a recurving cyclone (Typhoon Flo, Sept. 1990), and those for non-recurving TCM-90 storms verify significant differences in the upper tropospheric zonal wind fields north and -northwest of the tropical cyclone one to two days prior to the beginning of the initial right turn of recurvature. Typhoon Flo actually began to recurve when 200 mb positive zonal winds had penetrated to within 6 degrees radius of the cyclones' center from the northwest. Tropical cyclones which did not recurve had negative zonal winds at this radius and azimuth. This special area to the north and northwest of the cyclone has been termed the "window of forecast opportunity". Basic statistical analyses of the typical spread of individual wind values at specific octants and 2 degree radial belts were ma.de for all TCM-90 rawinsonde and satellite wind data composites. The typical standard deviation about the mean of composited zonal and meridional winds in individual octants and radial belts was 5-6 m/s at lower levels and 6-7 m/s at upper levels. Zonal wind differences in excess of this threshold would be required for confidence in distinguishing between i1 dividual cases of recurvature and non-recurvature.Sponsored by DOD-NAVY-ONR N00014-91-J-1092
Treating people with arthritis with traditional Chinese medicine (TCM): an examination of the perception of TCM practitioners
No full text© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. INTRODUCTION: Emerging evidence has shown that traditional Chinese medicine (TCM) has a positive effect on arthritis. This research provides the first critical, systematic examination of TCM practitioners' perceptions of TCM use for people with arthritis. METHODS: An online survey was distributed to all TCM professionals including acupuncturists and Chinese herbal medicine practitioners registered with the Practitioner Research and Collaborate Initiative (PRACI) practitioner database. The survey questions focus on practitioner characteristics, practice characteristics and clinical management approaches regarding arthritis care. RESULTS: The survey attracted a response rate of 53% (n=52). The average age of the respondents was 49.9 years, more than half were female, and the majority held a bachelor degree or higher qualification. More than two thirds of TCM practitioners in our study worked with other health professionals, while they had a high level of referral relationships with a wide range of conventional, allied health and complementary and alternative medicine (CAM) providers. Most of the TCM practitioners reported that their patients with arthritis used other treatments alongside TCM and a large number of the TCM practitioners who participated believed that TCM was effective for treating arthritis. CONCLUSIONS: The TCM profession represents a substantial component of the healthcare field in Australia, and treating patients with arthritis appears to be an important area of TCM practice, among others. Further detailed research is needed to help ensure effective, safe patient care for those with arthritis who may be utilising TCM alongside a broader range of conventional medicine, allied health, and other CAM treatments
BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
No full textTraditional Chinese Medicine (TCM), with a history of thousands of years of clinical practice, is gaining more and more attention and application worldwide. And TCM-based new drug development, especially for the treatment of complex diseases is promising. However, owing to the TCM's diverse ingredients and their complex interaction with human body, it is still quite difficult to uncover its molecular mechanism, which greatly hinders the TCM modernization and internationalization. Here we developed the first online Bioinformatics Analysis Tool for Molecular mechANism of TCM (BATMAN-TCM). Its main functions include 1) TCM ingredients' target prediction; 2) functional analyses of targets including biological pathway, Gene Ontology functional term and disease enrichment analyses; 3) the visualization of ingredient-target-pathway/disease association network and KEGG biological pathway with highlighted targets; 4) comparison analysis of multiple TCMs. Finally, we applied BATMAN-TCM to Qishen Yiqi dripping Pill (QSYQ) and combined with subsequent experimental validation to reveal the functions of renin-angiotensin system responsible for QSYQ's cardioprotective effects for the first time. BATMAN-TCM will contribute to the understanding of the "multi-component, multi-target and multi-pathway" combinational therapeutic mechanism of TCM, and provide valuable clues for subsequent experimental validation, accelerating the elucidation of TCM's molecular mechanism.Program of International ST Cooperation [2014DFB30020]; National Key Technology RD Program [2012BAI29B07]; Chinese High Technology Research and Development [2012AA020201, 2015AA020108]; National Natural Science Foundation of China [31271407]SCI(E)[email protected]; [email protected]; [email protected]
Core Problems and Solving Strategies of the Research on the Law of TCM Syndrome and Treatment Based on Data Driven
No full textTreatment based on syndrome differentiation is the core diagnostic and therapeutic thinking of traditional Chinese medicine (TCM), which is the key to determine clinical efficacy. Nowadays, research based on clinical data is the main method to explore the law of TCM syndrome and treatment, but the internal relationship of the key factors of "disease-syndrome-formula-medicine-effect" has not been truly and comprehensively analyzed, resulting in low clinical value of research results. Therefore, the author systematically sorted out the core problems of poor matching between electronic medical record and clinical research, the effect of data governance on data accuracy, difficulties to discover the law of TCM syndrome and treatment by data analysis methods. In addition, in the context of data driven, the big data platform of TCM clinical research should be established, and the data governance and analysis technology with artificial intelligence as the core should be developed, so as to realize the integration of clinical practice and research, providing new ideas and methods for the research of the law of TCM syndrome and treatment and promoting the development of TCM
Use of Chinese drugs in patients with metabolic syndrome in a German TCM hospital
No full textBackground/objectives: In Traditional Chinese Medicine (TCM) drug treatment usually is given as prescription including multiple drugs. The prescription is highly individualized according to specific configurations of TCM syndromes. The analysis is to provide an overview of frequently or rarely used combinations of single drugs in a German TCM hospital, and how to compare such patterns in two clinical patient subgroups. Methods: Based on a sample of 2,129 in-patients (71% female, age 53.5±14.3 yrs) of the TCM hospital Bad Kötzting, Germany, the relative frequencies of 221 single drugs prescribed at the beginning of the treatment were analysed. Patients who fulfilled the criteria for Metabolic Syndrome (MetS) were compared with those patients who did not. Univariate and multivariate statistical models like logistic regression, factor and cluster analyses were applied. Results: Astragali radix was identified as the most frequently prescribed single drug in 47.1% of the patients. One prescription comprised 12 single drugs, on average. The frequency of use differed mostly in patients with or without MetS with respect to Chaenomelis fructus and Spatholobi caulisor (more frequent in MetS), and Bupleuri radix and Poria (less frequent in MetS). Angelicae pubescentis radix was prescribed more often in MetS while for Angelicae sinensis radix it was the opposite. Factor analysis indicated that some combinations of drugs exist which could be empirically confirmed in a subgroup analysis (two clusters of patients) with however, limited specificity regarding MetS. Conclusions: Use of multivariate analyses is essential when patterns of single drugs in TCM are to be explored. The results provide indications for different prescriptions in patients with MetS compared to those without. Dislosure: Author of abstracts, with publication of this abstract, hereby claims that is not a plagiarism and that it is not related with any commercial, propaganda or advertising purposes
A Hybrid Modulation Featuring Two-phase Clamped Discontinuous PWM and Zero Voltage Switching for 99% Efficient DC-Type EV Charger
No full textTwo-stage AC-DC converters are considered as a prominent solution for DC-type electric vehicle (EV) chargers. However, this kind of architecture suffers from high switching losses with large heatsink and DC-link capacitor volume. To relieve this issue, this paper presents a new hybrid modulation for DC-type EV chargers, where a two-phase clamped discontinuous pulse-width-modulation (DPWM) in the front-end circuit is cooperated with the variable frequency triangular-current mode (TCM) zero voltage switching (ZVS) or its simplified implementation, i.e., boundary-ZVS (B-ZVS) strategy, in the back-end circuit. The former can stop the switching actions in the front-end stage during two-thirds of the grid period, while the AC currents are at their highest values, which can yield to the best switching loss reduction and deliver high power factor operation. Besides, TCM-ZVS or B-ZVS modulations can achieve ZVS turn-on action for all semiconductors during all operating range in the DC-DC stage to further reduce the power losses on the semiconductors. With such characteristics, the proposed strategies can reduce the switching losses of the system to the best extent, and thus allow an enhancement of the system power density by improving the power conversion efficiency. The proposed strategy is described, analyzed, validated, and benchmarked in a 5kW SMD SiC MOSFET-based two-stage AC-DC converter. A 99% power efficiency can be achieved with the solution implementing the TCM-ZVS strategy at an output voltage of 400V and rated power.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.DC systems, Energy conversion & Storag
Preventive effects of TCM on TBARS formation in tissues under whiskers cut stress in mice
No full text<p><b>Copyright information:</b></p><p>Taken from "Psychological Stress-Induced Oxidative Stress as a Model of Sub-Healthy Condition and the Effect of TCM"</p><p></p><p>Evidence-based Complementary and Alternative Medicine 2006;4(2):195-202.</p><p>Published online 2 Nov 2006</p><p>PMCID:PMC1876613.</p><p>© 2006 The Author(s).</p> SMS or LGZGT were the same as in . At 12 h after whiskers removal, tissues were removed to determine TBARS. Data represent means ± SD ( = 6 mice). < 0.05 or < 0.01 versus the untreated control mice. < 0.05 or < 0.01 versus stressed mice
JinQi-Jiangtang tablet, a Chinese patent medicine, for pre-diabetes: a randomized controlled trial
No full textAbstract Background Pre-diabetes is a growing health concern where a large percentage of these patients develop full type 2 diabetes. Effective interventions on pre-diabetes can prevent or delay the occurrence or development of diabetes. Pharmaco-dynamics and pre-clinical of JinQi-Jiangtang tablets (JQJT) suggest that it could be benefit for pre-diabetes. Methods/Design Randomized controlled trial (RCT) is implemented in this study. The study term is 24 months (12 months for intervention and 12 months for follow up). Participants are recruited from four cities of China: Beijing, Tianjin, Xi'an and Nanning. Four hundred participants are randomized to treatment group (JQJT tablets) and control group (Placebo); two hundred participants each. People being included in this study must have been diagnosed as pre-diabetes via western medicine criteria and traditional Chinese medicine (TCM) criteria. The end-point indexes include: incidence of diabetes mellitus and reversion rate. Primary outcome indexes include: oral glucose tolerance test; insulin releasing test; glycosylated hemoglobin (HA1c). Secondary outcome indexes include: score of the Short Form 36 Health Survey Questionnaire (SF-36); score of TCM symptoms; blood lipid test. Indexes of safety include: general medical examination; blood and urine regular test; electrocardiogram (ECG), liver function (ALT) and renal function (BUN, Creatinine) test; record of adverse event, such as headache, faint, etc. Qualitative control will be implemented and a number of standard operating processes (SOPs) will be formed throughout the study: laboratory quality control measures; compliance control for researchers and participants; researcher training before study; supervision; investigational drug management and others. Discussion The aim of this study is to evaluate the effectiveness and safety of JinQi JiangTang (JQJT) tablets for the treatment of patients with pre-diabetes. Trial registration Chinese clinical trials register ChiCTR-TRC-00000401</p
Predicting early-age stress evolution in restrained concrete by thermo-chemo-mechanical model and active ensemble learning
No full textEarly-age stress (EAS) is an important index for evaluating the early-age cracking risk of concrete. This paper encompasses a thermo-chemo-mechanical (TCM) model and active ensemble learning (AEL) for predicting the EAS evolution. The TCM model provides the data for the AEL model. First, based on Fourier's law, Arrhenius’ equation, and rate-type creep law, a TCM model is built to simulate the heat transfer, cement hydration, and viscoelasticity, which together determine the EAS evolution. Then, a material model composed of an eXtreme Gradient Boosting model and adjusted Model Code 2010 is built to allow for parametric study and database construction. Finally, an AEL framework is built, which incorporates principal component analysis (PCA), Gaussian process, and light gradient boosting machine (LGBM). This study resulted in the following findings: (1) The dimensionality of the 672-by-1 EAS vector can be effectively reduced by PCA, and the first principal component (PC) is a global index representing the magnitude of the EAS; (2) the mechanical field of the TCM model is validated by testing data. Correlation analysis on the first PC quantifies the influence of various input parameters of the TCM model, which is in accordance with common understandings of the EAS evolution process. (3) The AEL and one-shot ensemble learning (OSEL) both achieve high prediction performance in the testing set, whose R2 reaches 0.961 and 0.948, respectively. Thanks to the uncertainty-based query procedure, comparing with OSEL, AEL shows advantages in prediction performance over the whole training history. (4) AEL can significantly reduce the number of samples required for training, which can be a major improvement in efficiency considering the computational cost of the TCM model.Materials and Environmen
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