Market Return, Liquidity, and Trading Activity of Various Trader Types in the Emerging Market: A Study of the TAIFEX

Ying Hao,Robin K. Chou,Keng-Yu Ho,Pei-Shih Weng 한국증권학회 2016 Asia-Pacific Journal of Financial Studies Vol.45 No.4

Using a large data set with detailed classifications of different trader types, this study sheds further light on the trading activity of various trader types on the Taiwan futures exchange (TAIFEX). Compared with domestic traders on the TAIFEX, we find that foreign institutional traders act as contrarians. In addition, when the market becomes illiquid, foreign institutional traders are net buyers and individual traders are net sellers. The result implies that both foreign institutional traders and individual traders may contribute to the recovery of liquidity dry-ups together. Among all traders, only the order imbalance of foreign institutional investors presents return predictability when the market is illiquid, which suggests they have an information advantage in such a market.

Schisandrin A ameliorates MPTP‑induced Parkinson’s disease in a mouse model via regulation of brain autophagy

Yinghao Zhi,Yongxi Jin,Lulu Pan,Aiguo Zhang 대한약학회 2019 Archives of Pharmacal Research Vol.42 No.11

Schisandrin A (Sch A) is one of the principalbioactive lignans isolated from Fructus schisandrae. In thisstudy, we demonstrated its protective effect and biochemicalmechanism of action in a 1-methyl-4-phenyl-1, 2, 3,6-tetrahydropyridine-induced mouse model of Parkinson’sdisease. Sch A significantly ameliorated behavioural abnormalitiesand increased the number of nigral dopaminergicneurons detected by tyrosine hydroxylase immunohistochemistry. Pre-treatment with Sch A significantly decreasedthe levels of the inflammatory mediators IL-6, IL-1β, andTNF-α and markedly improved antioxidant defences byinhibiting the activity of MDA and increasing that of SOD. Furthermore, Sch A activated expression of the autophagyrelatedproteins LC3-II, beclin1, parkin, and PINK1 andincreased mTOR expression. Taken together, these findingsindicate that Sch A has neuroprotective effects against thedevelopment of Parkinson’s disease via regulation of brainautophagy.

Research on the Detection of the Broken Wire Damage of a Cable in the Circumferential Directions Based on Self-magnetic Flux Leakage

Yinghao Qu,Jianting Zhou,Renming Liu,Leng Liao,Qingyuan Zhao 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.3

For large section members such as cables, there are insufficient methods for circumferential scanning along the cable sections for the detection of corroded broken wires. In this study, a detection method for broken wire damage (BWD) along the circumferential direction of cable based on the principle of self-magnetic flux leakage (SMFL) was proposed. First, the theoretical calculation model and the finite element model of the circumferential magnetic field in the polar coordinate system were established. The analysis results showed that the position of the BWD on the section of cable could be effectively judged by the concave position of the curves of the SMFL in the polar coordinate system. Through the circumferential scanning at different positions, the length of the BWD could be judged by the coordinates of x when the value of index “C” (similarity to circle) approached 1 for the first time in the x - C curves. Finally, the detection experiment for the BWD of a parallel wire bundle was carried out. The experimental results were consistent with the analysis results for the theoretical model and the finite element, and the experimental results verified the correctness of the detection method.

Outcomes of epidural steroids following percutaneous transforaminal endoscopic discectomy: a meta-analysis and systematic review

Yinghao Song,Changxi Li,Jingjing Guan,Cheng Li,Haisheng Wu,Xinzhi Cheng,Bingyu Ling,Jinglang Zhang 대한통증학회 2022 The Korean Journal of Pain Vol.35 No.1

Background: Percutaneous transforaminal endoscopic discectomy (PTED) has been widely used in the treatment of lumbar degenerative diseases. Epidural injection of steroids can reduce the incidence and duration of postoperative pain in a short period of time. Although steroids are widely believed to reduce the effect of surgical trauma, the observation indicators are not uniform, especially the long-term effects, so the problem remains controversial. Therefore, the purpose of this paper was to evaluate the efficacy of epidural steroids following PTED. Methods: We searched PubMed, Embase, and the Cochrane Database from 1980 to June 2021 to identify randomized and non-randomized controlled trials comparing epidural steroids and saline alone following PTED. The primary outcomes included postoperative pain at least 6 months as assessed using a visual analogue scale (VAS) and the Oswestry Disability Index (ODI). The secondary outcomes included length of hospital stay and the time of return to work. Results: A total of 451 patients were included in three randomized and two nonrandomized controlled trials. The primary outcomes, including VAS and ODI scores, did not differ significantly between epidural steroids following PTED and saline alone. There were no significant intergroup differences in length of hospital stay. Epidural steroids were shown to be superior in terms of the time to return to work (P < 0.001). Conclusions: Intraoperative epidural steroids did not provide significant benefits, leg pain control, improvement in ODI scores, and length of stay in the hospital, but it can enable the patient to return to work faster.

Predicting the splitting tensile strength of concrete using an equilibrium optimization model

Yinghao Zhao,Xiaolin Zhong,Loke Kok Foong 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.39 No.1

Splitting tensile strength (STS) is an important mechanical parameter of concrete. This study offers novel methodologies for the early prediction of this parameter. Artificial neural network (ANN), which is a leading predictive method, is synthesized with two metaheuristic algorithms, namely atom search optimization (ASO) and equilibrium optimizer (EO) to achieve an optimal tuning of the weights and biases. The models are applied to data collected from the published literature. The sensitivity of the ASO and EO to the population size is first investigated, and then, proper configurations of the ASO-NN and EO-NN are compared to the conventional ANN. Evaluating the prediction results revealed the excellent efficiency of EO in optimizing the ANN. Accuracy improvements attained by this algorithm were 13.26 and 11.41% in terms of root mean square error and mean absolute error, respectively. Moreover, it raised the correlation from 0.89958 to 0.92722. This is while the results of the conventional ANN were slightly better than ASO-NN. The EO was also a faster optimizer than ASO. Based on these findings, the combination of the ANN and EO can be an efficient non-destructive tool for predicting the STS.

Energy-Efficient Scheduling with Individual Packet Delay Constraints and Non-Ideal Circuit Power

Yinghao, Jin,Jie, Xu,Ling, Qiu The Korea Institute of Information and Commucation 2014 Journal of communications and networks Vol.16 No.1

Exploiting the energy-delay tradeoff for energy saving is critical for developing green wireless communication systems. In this paper, we investigate the delay-constrained energy-efficient packet transmission. We aim to minimize the energy consumption of multiple randomly arrived packets in an additive white Gaussian noise channel subject to individual packet delay constraints, by taking into account the practical on-off circuit power consumption at the transmitter. First, we consider the offline case, by assuming that the full packet arrival information is known a priori at the transmitter, and formulate the energy minimization problem as a non-convex optimization problem. By exploiting the specific problem structure, we propose an efficient scheduling algorithm to obtain the globally optimal solution. It is shown that the optimal solution consists of two types of scheduling intervals, namely "selected-off" and "always-on" intervals, which correspond to bits-per-joule energy efficiency maximization and "lazy scheduling" rate allocation, respectively. Next, we consider the practical online case where only causal packet arrival information is available. Inspired by the optimal offline solution, we propose a new online scheme. It is shown by simulations that the proposed online scheme has a comparable performance with the optimal offline one and outperforms the design without considering on-off circuit power as well as the other heuristically designed online schemes.

Employing TLBO and SCE for optimal prediction of the compressive strength of concrete

Yinghao Zhao,Hossein Moayedi,Mehdi Bahiraei,Loke Kok Foong 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.26 No.6

The early prediction of Compressive Strength of Concrete (CSC) is a significant task in the civil engineering construction projects. This study, therefore, is dedicated to introducing two novel hybrids of neural computing, namely Shuffled Complex Evolution (SCE) and Teaching-Learning-Based Optimization (TLBO) for predicting the CSC. The algorithms are applied to a Multi-Layer Perceptron (MLP) network to create the SCE-MLP and TLBO-MLP ensembles. The results revealed that, first, intelligent models can properly handle analyzing and generalizing the non-linear relationship between the CSC and its influential parameters. For example, the smallest and largest values of the CSC were 17.19 and 58.53 MPa, and the outputs of the MLP, SCE-MLP, and TLBO-MLP range in [17.61, 54.36], [17.69, 55.55] and [18.07, 53.83], respectively. Second, applying the SCE and TLBO optimizers resulted in increasing the correlation of the MLP products from 93.58 to 97.32 and 97.22%, respectively. The prediction error was also reduced by around 34 and 31% which indicates the high efficiency of these algorithms. Moreover, regarding the computation time needed to implement the SCE-MLP and TLBO-MLP models, the SCE is a considerably more time-efficient optimizer. Nevertheless, both suggested models can be promising substitutes for laboratory and destructive CSC evaluative models.

Efficient metaheuristic-retrofitted techniques for concrete slump simulation

Yinghao Zhao,Chengzong Bai,Chengyong Xu,Loke Kok Foong 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.27 No.5

Due to the benefits of the early prediction of concrete slump, introducing an efficient model for this purpose is of great importance. Considering this motivation, four strong metaheuristic algorithms, namely electromagnetic field optimization (EFO), water cycle algorithm (WCA), teaching-learning-based optimization (TLBO), and multi-tracker optimization algorithm (MTOA) are used to supervise a neural predictive system in analyzing the slump pattern. This supervision protects the network against computational issues like pre-mature convergence. The overall results (e.g., Pearson correlation indicator larger than 0.839 and 0.807 for the training and testing data, respectively) revealed the competency of the proposed models. However, investigating the rankings of the models pointed out the superiority of the WCA (MAE_train = 3.3080 vs. 3.7821, 3.5782, and 3.6851; and MAE_test = 3.8443 vs. 4.0326, 4.1417, and 4.0871 obtained for the EFO, TLBO, and MTOA, respectively). Moreover, the high efficiency of the EFO in terms of model complexity and convergence rate, as well as the adequate accuracy of prediction, demonstrated the suitability of the corresponding ensemble. Therefore, the neural systems trained by these two algorithms (i.e., the WCA and EFO) are efficient slump evaluative models and can give an optimal design of the concrete mixture for any desirable slump.

Novel Method for Calculating the Effective Stress Coefficient in a Tight Sandstone Reservoir

Yinghao Shen,Guohua Luan,Haiyong Zhang,Qian Liu,Junjing Zhang,Hongkui Ge 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.6

Determining the influence of effective stress on rock deformation is essential for geotechnical stability analysis in oil and gas production. There is no universal effective stress coefficient for all rock properties, and different values of effective stress coefficient apply for different physical quantities (Gurevich, 2004). Although the effective stress law and its application is not new, frequently overlooked or misapplied. Hence, a novel method was proposed for measuring and calculating the effective stress coefficient in this work. Firstly, pore compressibility under different confine pressure values was measured using reservoir fluid or experimental fluid. Secondly, effective stress was calculated by comparing pore compressibility under different confine pressure and then, the range of effective stress coefficients was determined eventually. Finally, the reliability of the proposed method was validated via the stresssensitive curves of tight sandstone core samples and by comparing the results with those of two other calculation methods for the effective stress coefficient. This work suggests that the stress-sensitive curves of the two core samples from the same location and with similar physical properties have given similar effective stress coefficient (η = 0.201) calculated using the proposed method, which indicates that the calculation is reasonable. The comparison of the proposed method with other methods also indicate that the proposed technique is reliable.

Eco-friendly Production of Maize Using Struvite Recovered from Swine Wastewater as a Sustainable Fertilizer Source

Liu, YingHao,Rahman, M.M.,Kwag, Jung-Hoon,Kim, Jae-Hwan,Ra, Chang-Six Asian Australasian Association of Animal Productio 2011 Animal Bioscience Vol.24 No.12

Magnesium ammonium phosphate (MAP) was recovered from swine wastewater and the feasibility of reutilizing it as a slowly-releasing fertilizer was evaluated. Maize growth was investigated with normal and high application rates of MAP and a fused super phosphate (FSP) fertilizer. A total of 5 treatments ($T_0$ = control, $T_1$ = MAP based on 30 kg P $ha^{-1}$, $T_2$ = FSP based on 30 kg P $ha^{-1}$+urea equivalent to nitrogen of MAP applied in $T_1$, $T_3$ = MAP based on 40 kg P $ha^{-1}$, $T_4$ = FSP based on 40 kg P $ha^{-1}$+urea equivalent to nitrogen of MAP applied in $T_3$) were arranged with 3 replications. In the case of height and circumference, significant differences were found between controls and treated maize plants (p<0.01). However, no statistical differences were found between MAP- and FSP-urea treated maize. Leaf area and green biomass yield were significantly (p<0.01) higher in the treated group than control. Leaf area was also found significantly higher (p<0.01) in the higher MAP- treated group (2,374 $cm^2$ $plant^{-1}$) than other treatments. $N_2O$ emission was found to be lower in MAP treated soil than that from FSP-urea treated soil, which might be due to the slow releasing pattern of MAP. It could be assumed from the results that MAP would be an eco-friendly sustainable fertilizer source for crop production.