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Kuo-Jung Chang,Yu-Jung Chen,Jing-Yi Chung,Chen-Cheng Lin,Yia-Ping Liu 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.10
Objective: Post weanling isolation-reared (IR) rats are featured with depressive phenotype, yet its mechanism is not clearly defined particularly in terms of the involvement of central 5-HT1A receptors. The present study aims to examine the effects of 5HT1A activation on forced swim test (FST) in IR rats following 5-HT depletion. Methods: Social control (SOC) and IR rats received an intracerebraoventricular (ICV) injection of 5-HT depletion agent, 5,7-DHT. 14days after the surgery, rats were assessed their performance in FST with or without the challenge with a 5-HT1A agonist, 8-OH-DPAT. Rats were then sacrificed for analyzing their 5-HT tissue levels and the expressions of their 5-HA1A receptors in prefrontal cortex (PFC), hippocampus (HPX), and amygdala (AMY). Results: 5,7-DHT decreased the tissue concentration of 5-HT in both IR and SOC rats. IR rats were more immobile and less sensitive to the lesion-induced immobility, however this effect was reversed by acute challenge of 8-OH-DPAT. 5,7-DHT lesion increased the expression of PFC 5-HT1A receptors. Conclusion: The integrity of central 5-HT system is developmentally crucial for the 5-HT1A-relevant depression profile in rats of social isolation.
Kuo-Jung Chang,Yu-Jung Chen,Jing-Yi Chung,Chen-Cheng Lin,Yia-Ping Liu 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.11
Objective Post weanling isolation-reared (IR) rats are featured with depressive phenotype, yet its mechanism is not clearly defined particularly in terms of the involvement of central 5-HT1A receptors. The present study aims to examine the effects of 5HT1A activation on forced swim test (FST) in IR rats following 5-HT depletion. Methods Social control (SOC) and IR rats received an intracerebraoventricular (ICV) injection of 5-HT depletion agent, 5,7-DHT. 14 days after the surgery, rats were assessed their performance in FST with or without the challenge with a 5-HT1A agonist, 8-OH-DPAT. Rats were then sacrificed for analyzing their 5-HT tissue levels and the expressions of their 5-HA1A receptors in prefrontal cortex (PFC), hippocampus (HPX), and amygdala (AMY). Results 5,7-DHT decreased the tissue concentration of 5-HT in both IR and SOC rats. IR rats were more immobile and less sensitive to the lesion-induced immobility, however this effect was reversed by acute challenge of 8-OH-DPAT. 5,7-DHT lesion increased the expression of PFC 5-HT1A receptors. Conclusion The integrity of central 5-HT system is developmentally crucial for the 5-HT1A-relevant depression profile in rats of social isolation.
Aerosol Effects on Instability, Circulations, Clouds, and Precipitation
Lee, Seoung-Soo,Tao, Wei-Kuo,Jung, Chang-Hoon Hindawi Limited 2014 Advances in meteorology Vol.2014 No.-
<P>It is well known that increasing aerosol and associated changes in aerosol-cloud interactions and precipitation since industrialization have been playing an important role in climate change, but this role has not been well understood. This prevents us from predicting future climate with a good confidence. This review paper presents recent studies on the changes in the aerosol-cloud interactions and precipitation particularly in deep convective clouds. In addition, this review paper discusses how to improve our understanding of these changes by considering feedbacks among aerosol, cloud dynamics, cloud and its embedded circulations, and microphysics. Environmental instability basically determines the dynamic intensity of clouds and thus acts as one of the most important controls on these feedbacks. As a first step to the improvement of the understanding, this paper specifically elaborates on how to link the instability to the feedbacks.</P>
Ho Chang,Mu-Jung Kao,Chin-Guo Kuo,Cheng-Yi Chou 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.
This study develops photoelectrode thin film needed in back-illuminated dye-sensitized solar cells (DSSC) by the anodization method. We test the effects of electrolytes with different NH4F concentrations reaction time lengths in the anodic oxidation process on thephotoelectric conversion efficiency of DSSC, and measure the open-circuit voltage decay, lifetime of electrons and incident photontoelectronconversion efficiency (IPCE) of the prepared DSSC. Experimental results show that the TiO2 nanotube thin film prepared byanodic oxidation with an electrolyte with a NH4F concentration at 0.75 wt% and with a reaction time of 5 hr achieves a photoelectricconversion efficiency of 3.98%, open-circuit voltage of 0.723 V, and short-circuit current density of 11.3 mA/cm2, and has a longerelectron lifetime when compared to the electrolytes prepared at other NH4F concentrations. In addition, the photoelectrode thin filmprepared with a thickness of 22 μm under a reaction time of 10 hr and by an electrolyte with a NH4F concentration at 0.5 wt%achieves photoelectric conversion efficiency of as high as 4.76%, open-circuit voltage of 0.681 V, and short-circuit current densityof 15.91 mA/cm2.
Chien-Chi Kao,Yung-Chang Lai,Jung Pei,Chih-Wei Chang,Fei-Hua Kuo,Jin-Yuan Shun 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
In recent years, IP surveillance networks are expected to enable various practical applications, such as finding suspects, monitoring pedestrians, and securing societies (e.g., securing a city, a company and a data center). With these applications, IP surveillance network is regarded as one of the potential technologies toward developing smart cities. To support the concept of IP surveillance networks, automatic attribute recognition systems have emerged as a promising intelligent management system. To automatically recognize attributes of pedestrians (e.g., gender and clothing), we apply deep convolutional neural networks (CNNs), and the main contributions of this paper are threefold: (1) we proposed a practical system architecture for intelligent management of surveillance networks; (2) we implemented different deep CNNs, and an ensemble-learning method that leverages these multiple deep-learning models; (3) we evaluated the models using the real data of IP surveillance networks.