• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.13-31
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• 2021

The purpose of this study is to find the factors that influence big data characteristics on decision satisfaction and utilization behavior, analyze the extent of their influence, and derive differences from existing studies. To summarize the results of this study, First, the study found that among the three categories that classify the characteristics of big data, qualitative attributes such as representation, purpose, interpretability, and innovation in the value innovation category greatly enhance decision confidence and decision effectiveness of decision makers who make decisions using big data. Second, the study found that, among the three categories that classify the characteristics of big data, the individuality properties belonging to the social impact category improve decision confidence and decision effectiveness of decision makers who use big data to make decisions. However, collectivity and bias characteristics have been shown to increase decision confidence, but not the effectiveness of decision making. Third, the study found that among the three categories that classify the characteristics of big data, the attributes of inclusiveness, realism, etc. in the integrity category greatly improve decision confidence and decision effectiveness of decision makers who make decisions using big data. Fourth, it was analyzed that using big data in organizational decision making has a positive impact on the behavior of big data users when the decision-making confidence and finally, decision-making effect of decision-makers increases.

• Advances in Computational Design
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• v.7 no.3
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• pp.253-279
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• 2022

This study investigated and predicted the Marshall stability of glass-fiber asphalt mix, carbon-fiber asphalt mix and glass-carbon-fiber asphalt (hybrid) mix by using machine learning techniques such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest(RF), The data was obtained from the experiments and the research articles. Assessment of results indicated that performance of the Artificial Neural Network (ANN) based model outperformed applied models in training and testing datasets with values of indices as; coefficient of correlation (CC) 0.8492 and 0.8234, mean absolute error (MAE) 2.0999 and 2.5408, root mean squared error (RMSE) 2.8541 and 3.3165, relative absolute error (RAE) 48.16% and 54.05%, relative squared error (RRSE) 53.14% and 57.39%, Willmott's index (WI) 0.7490 and 0.7011, Scattering index (SI) 0.4134 and 0.3702 and BIAS 0.3020 and 0.4300 for both training and testing stages respectively. The Taylor diagram also confirms that the ANN-based model outperforms the other models. Results of sensitivity analysis show that Carbon fiber has a major influence in predicting the Marshall stability. However, the carbon fiber (CF) followed by glass-carbon fiber (50GF:50CF) and the optimal combination CF + (50GF:50CF) are found to be most sensitive in predicting the Marshall stability of fibrous asphalt concrete.

• Atmosphere
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• v.32 no.3
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• pp.191-206
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• 2022

Assimilation trials were performed using the Korea Institute of Atmospheric Prediction Systems (KIAPS) Korea Integrated Model (KIM) semi-operational forecast system to assess the impact of ground-based Global Navigation Satellite System (GNSS) Zenith Total Delay (ZTD) on forecast. To use the optimal observation in data assimilation of KIM forecast system, in this study, the ZTD observation were pre-processed. It involves the bias correction using long term background of KIM, the quality control based on background and the thinning of ZTD data. Also, to give the effect of observation directly to data assimilation, the observation operator which include non-linear model, tangent linear model, adjoint model, and jacobian code was developed and verified. As a result, impact of ZTD observation in both analysis and forecast was neutral or slightly positive on most meteorological variables, but positive on geopotential height. In addition, ZTD observations contributed to the improvement on precipitation of KIM forecast, specially over 5 mm/day precipitation intensity.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.105-114
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• 2022

Financial markets have long been known to be prone to behavioral biases. One such behavioural bias that is consequential yet pervasive in financial markets is the herd effect. The objective of this study is to determine whether or not there exist herd behaviour in the new and bourgeoning Decentralized Finance (DeFi) Tokens market. This is accomplished by using daily returns of 22 DeFi tokens from January 29, 2017 to August 19, 2021, and the Cross-sectional Absolute Deviation (CSAD) of market returns to capture herd behavior. The results fail to provide any evidence of herding in the DeFi token market on bullish days, that is days for which the average market returns is positive. For bearish days however, that is days for which the market returns is negative, our empirical findings point to the presence of adverse herding in the DeFi token market. This phenomenon can be explained to some extent by the investor composition of the DeFi market. The DeFi token space is a growth market dominated by experts and/or enthusiasts who are insulated against the temptation and panic of negative market swings by the level of market and technical information they possess on the assets they invest.

• Journal of Acupuncture Research
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• v.39 no.3
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• pp.170-181
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• 2022

This review evaluated the efficacy of electroacupuncture (EA) for chronic fatigue syndrome. Randomized controlled trials (RCTs) using EA as an intervention for patients with chronic fatigue syndrome were identified in 6 databases (PUBMED, EMBASE, CNKI, J-STAGE, KMBASE, OASIS). Fatigue indicators were used as the primary outcome measures. The quality-of-life index, efficiency rate, and level of pain were used as secondary outcome measures. There were 408 patients from seven RCTs included in this study. Meta-analysis showed that EA was significantly associated with fatigue relief compared with the control group (n = 141 SMD = -1.55, 95% CI; -2.58 - -0.52, p = 0.003, I² = 92%). In addition, EA had a statistically significant improvement in quality of life compared with the control group (n = 176, SMD = -2.29, 95% CI; -3.68 - -0.90, p = 0.001, I² = 96%). One study reported ten cases of bleeding, however, no serious adverse events were reported in any of the included studies. This review determined that EA may have a greater clinical effect than the control group for fatigue relief and improved quality of life. However, there were several risks of bias identified. Not all of the RCTs accurately reported the research method, all studies were conducted in 1 country (China), and the number of studies included were small.

• Journal of Acupuncture Research
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• v.39 no.1
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• pp.1-9
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• 2022

Lower urinary tract symptoms (LUTS) associated with storage, voiding, and post-micturition reduce quality of life and cause mental health problems. In traditional medicine, Baliao points have been empirically used to treat urinary system diseases. In this review, randomized controlled trials (RCTs) using sacral acupuncture on Baliao points with sham treatment, other remedies, or other acupoints were retrieved from 8 electronic databases up to June 2021. Sixteen RCTs met the inclusion criteria. The quality of the included studies was assessed using a risk-of-bias (ROB) tool. Most of the evaluation indicators used in the included RCTs showed that sacral acupuncture had a significant therapeutic effect compared with the sham control intervention groups, and other remedies. However, all studies using acupoints (other than the Baliao points) as a control intervention had a "high" ROB and only reported secondary processed information, making it difficult to evaluate the efficacy of sacral acupuncture treatment for LUTS. No serious adverse effects were reported for sacral acupuncture, and only a low number of minor side effects were observed. These results suggest that sacral acupuncture could be considered as an alternative to existing treatments, with the added benefit of low cost. Large-scale, long-term RCTs are required in the future.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.59-72
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• 2022

This text discusses elements and characteristics of contemporary informational reality, that is, the ways of producing, circulating, organizing, using, and appropriating information in the current context. Initially, seven terms and concepts used to describe this reality are discussed: fake news, false testimonials, hate speech, scientific negationism, disinformation, post-truth, and infodemic. Next, an attempt is made to present a framework for such phenomena as an object of study in information science. Therefore, this scenario is characterized based on the three main models of information science study: physical, cognitive, and social. The contribution of each of them to the study of contemporary informational reality is analyzed, identifying aspects such as the bubble effect, clickbaits, confirmation bias, cults of amateurism, and post-truth culture. Finally, it presents the discussion of a possible veritistic turn in the field, in order to think about elements not covered so far by information science in its task and challenge of producing adequate understanding and diagnoses of current phenomena. In conclusion, it is argued that only accurate and comprehensive diagnoses of such phenomena will allow information science to develop services and systems capable of combating their harmful effects.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.17 no.2
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• pp.1-15
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• 2022

Objectives This study aimed to assess the efficacy and safety of manual therapy in patients with failed back surgery syndrome (FBSS). Methods We searched eight electronic databases from October 2022 and only selected randomized controlled trials (RCTs) reporting outcomes for manual therapy in FBSS patients. Included studies were analyzed qualitatively. Results A total of twelve RCTs were included and three studies were meta-analyzed. Manual therapy combined with exercise demonstrated more favorable outcomes in terms of pain reduction compared to exercise therapy only (P<0.01). Some studies reported that manual therapy resulted in low efficacy, while some studies reported that specific manual techniques have a significant effect in pain relief. We, therefore, conclude that several studies have a high risk of bias. Conclusions Findings suggest that manual therapy is a safe and non-invasive, promising option for managing FBSS. However, manual therapy is not the best option in all circumstances; thus, this should be selectively applied by a well-trained practitioner. Further studies such as well-designed, risk-controlled RCTs are required to gain stronger evidence.

• The Journal of Internal Korean Medicine
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• v.43 no.6
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• pp.1149-1161
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• 2022

Purpose: This systematic review was conducted to evaluate the clinical effects of Injinho-tang on hyperbilirubinemia in hepatobiliary disorders. Methods: We searched for randomized controlled clinical trials that had administered Injinho-tang as an intervention in the following medical databases: Public/Publisher MEDLINE (PubMed), Excerpta Medica dataBASE (EMBASE), Cochrane library, Research Information Sharing Service (RISS), ScienceON, Oriental Medicine Advanced Searching Integrated System (OASIS), and China National Knowledge Infrastructure (CNKI). Among the retrieved studies, only trials that met the inclusion criteria were selected, and serum total bilirubin values were extracted and analyzed from the finally selected trials. Results: The serum total bilirubin values of 1,302 patients with various hepatobiliary diseases were synthesized through a meta-analysis, which confirmed a decrease in serum total bilirubin of 21.03 𝜇mol/L (95% CI -29.58~-12.49, p<0.01) in the group administered with Injinho-tang compared with the control group. Conclusions: Injinho-tang is effective in alleviating hyperbilirubinemia in hepatobiliary diseases when administered with conventional treatment. However, the potential risk of bias, high heterogeneity among the included trials, and differences in herbal composition are limitations of the results of this meta-analysis.