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Serotonin and Mental Disorders: A Concise Review on Molecular Neuroimaging Evidence
Shih-Hsien Lin,Lan-Ting Lee,Yen Kuang Yang 대한정신약물학회 2014 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.12 No.3
Serotonin is one of the most important neurotransmitters influencing mental health and, thus, is a potential target for pharmacologicaltreatments. Functional neuroimaging techniques, such as positron-emission tomography (PET) and single photon emissioncomputed tomography (SPECT), could provide persuasive evidence for the association between mental disorders and serotonin. In this concise review, we focus on evidence of the links between serotonin and major depressive disorders, as well as othermood disorders, anxiety disorders, schizophrenia, addiction, attention deficit hyperactivity disorder (ADHD), and autism.
Shih-Hsien Lin,Huai-Hsuan Tseng,Hsin Chun Tsai,Mei Hung Chi,I Hui Lee,Po See Chen,Kao Chin Chen,Yen Kuang Yang 대한정신약물학회 2021 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.19 No.1
Objective: Weight gain is an important risk factor for morbidity and mortality among patients with schizophrenia. We speculated that positive symptoms, related to dopaminergic hyperactivity and altered mesolimbic function, are associated with weight gain. Methods: Twenty-two antipsychotic-naïve, first-episode patients with schizophrenia were enrolled. The Positive and Negative Syndrome Scale was completed at enrollment and follow-up. Body mass index (BMI) was also measured. Results: The increase in BMI, after 6.04 ± 2.16 years of follow-up, was associated with positive symptoms, but not negative symptoms, before treatment with antipsychotics in antipsychotic-naïve patients with schizophrenia. Conclusion: This finding implied that dopaminergic hyperactivity could be an important factor to predict the treatment outcome. Body weight control is important for the health management of patients with schizophrenia with more severe positive symptoms.
FEM ANALYSIS AND EXPERIMENT VALIDATION ON MULTI-PASS FORGING OF TORX ROUND FLANGE BOLT
Shih-Hsien Lin,Dyi-Cheng Chen,Un-Chin Chai,Gow-Yi Tzou 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.5
This study aims at exploring the multi-pass forging of Torx Round Flange Bolt (automotive fastener) to simulate each pass forging process using FEM simulation. The software is used to carry out the simulation analysis. Constant shear friction is always assumed at the interface between die and workpiece to explore the effective stress, the effective strain, the velocity filed, and the forging force for each pass. Through the pass schedule plan and design based on FEM analysis, the four-pass forging process is designed to form the Torx Round Flange Bolt compared the five-pass forging. It is noted that the total forging force is 1204kN, so the 200 tons machinery in the factory can be chosen to manufacture this automotive fastener. The die stress analysis for each pass has been explored to realize whether the dies are damaged or not. The forming feasibility of Torx Round Flange Bolt can be performed by FEM simulation. All dies designs and forming results can be proposed to the dies manufacture so as to perform the realistic experiments. Comparisons between FEM and experiment for final product dimensions can be carried out. The maximum dimension error is just around 3.32% to show a good agreement with the experiment. The research results can provide to the industries as the references of establishment of multi-pass forging technology.
Shih-Hsien Yang,Hery Awan Susanto,Chien-Ting Kao,Chien-Wei Huang 한국도로학회 2018 한국도로학회 학술대회 발표논문 초록집 Vol.2018 No.05
The purpose of this study was to investigate the feasibility of converting the results obtained using different rutting performance tests. The correlation between the three simulation tests was analysed to determine the conversion coefficient factor. Two parameters (temperature and speed of simulation testing) were evaluated in this study. The results of this study have shown that the values obtained in the SALS test were lower than those obtained in the HWTT and UKWTT. The conversion of the SALS test results to the HWTT results yielded a good propensity value. The temperature is important parameter for determining the conversion coefficient factor.
Hsien-Ming, Shih,Feng Lin,Wen-Tsann Lin,Ching-Hsin Wang,Meng-Hua Li 대한산업공학회 2015 대한산업공학회 추계학술대회논문집 Vol.2015 No.11
In this study, consumers’ perceived value of branded products is regarded as their overall evaluation of the brand according to currently available information. When consumers develop favorable perceived value for a brand, their satisfaction with the brand’s product increases accordingly, thus prompting purchase behavior. This study adopted a reliability and path analysis to test the research hypotheses. The findings of this study indicate that perceived value positively influences customer satisfaction, and customer satisfaction positively influences purchase behavior. However, perceived value does not significantly influence purchase behavior.
Tsung-Hua Lu(Tsung-Hua Lu),Shih-Hsien Lin(Shih-Hsien Lin),Mei Hung Chi(Mei Hung Chi),Ching-Lin Chu(Ching-Lin Chu),Dong-Yu Yang(Dong-Yu Yang),Wei Hung Chang(Wei Hung Chang),Po See Chen(Po See Chen),Yen 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.1
Objective: Hypoactivity in the reward system among patients with attention deficit hyperactivity disorder (ADHD) is a well-known phenomenon. Whether the activity in the reward pathway is related to harm avoidance, such as in sensitivity to punishment, is unclear. Evidence regarding the potential difference between ADHD patients and controls in terms of this association is scarce. Methods: Event-related functional magnetic resonance imaging was conducted on subjects performing the Iowa gambling test. Fourteen adults with ADHD and 14 controls were enrolled in the study. Results: Harm avoidance was found to be positively correlated with the activities of the bilateral orbitofrontal cortex and right insula in individuals with ADHD. A group difference was also confirmed. Conclusion: Understanding the roles of harm avoidance and brain activation during risk tasks is important.
Tsung-Hua Lu(Tsung-Hua Lu),Shih-Hsien Lin(Shih-Hsien Lin),Huai-Hsuan Tseng(Huai-Hsuan Tseng),Yen Kuang Yang(Yen Kuang Yang),Nan Tsing Chiu(Nan Tsing Chiu),Po See Chen(Po See Chen) 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.4
Objective: Bipolar disorder (BD) is characterized by the poor sleep quality. Whether the striatal dopamine transporter (DAT) availability is related to sleep quality among patients with BD is unclear. Methods: Fifty-three euthymic patients with BD (24 BD-I and 29 BD-II) and sixty-eight healthy controls were enrolled. The Chinese Version of the Pittsburgh Sleep Quality Index (PSQI) was used, and the availability of DAT was assessed by single-photon emission computed tomography (SPECT) using [99mTc] TRODAT-1. Results: The sleep disturbance component of the PSQI was significantly associated with the level of DAT availability among patients with BD. Conclusion: The striatal dopaminergic activity that contributes to resilience to adversity was associated with sleep pattern among patients with BD.
Grey Neural Network-Based Forecasting System for Vision-Guided Robot Trajectory Tracking
Shih-Hung Yang,Chung-Hsien Chou,Chen-Fang Chung,Wen-Pang Pai,Tse-Han Liu,Yung-Sheng Chang,Jung-Che Li,Huan-Chan Ting,Yon-Ping Chen 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
This paper presents a grey neural network-based forecasting system (GNNFS) in solving the prediction problem. GNNFS adopts a grey model to predict the signal and a neural network (NN) to forecast the prediction error of the grey model. A sequential batch learning (SBL) is developed to adjust the weights of the NN. The proposed GNNFS is applied to a binocular robot, called an Eye-Robot, for human-robot interaction which involved predicting the trajectory of a participant’s hand and tracking the hand. By applying the SBL, the GNNFS can gradually learn to predict the trajectory of the hand and track it well. The experimental results show that the GNNFS can carry out the SBL in real-time for vision-guided robot trajectory tracking.
Kodri Muhammad,Shih-Hsien Yang,Susanto Hery Awan 한국도로학회 2018 한국도로학회 학술대회 발표논문 초록집 Vol.2018 No.05
In the second half of the twentieth century, climate scientists have observed significant climate change events. Climate change scenarios characterized by increased temperature and precipitation in urban areas have resulted in disasters such as the urban heat island effect or street flooding. In response to these extreme climate scenarios, engineers have proposed permeable pavement technology. Permeable pavement is a type of pavement that allows water to flow through existing cavities into the pavement. The benefits of permeable pavement include reducing storm water runoff, reducing the heat island effect, and improving water quality, and reducing noise. In this study, a mechanistic-empirical analysis was performed to model the performance of permeable pavement in a subtropical climate with two variations of base and soil materials under both low and high traffic scenarios. The performance criteria for fatigue cracking and rutting were used to determine the service life of the permeable pavements. Furthermore, the estimated pavement performance was used to perform the life cycle analysis of the permeable pavements. Economic, environmental, and social sustainability aspects during the construction, maintenance, and operation periods were modelled for a 20 year analysis.