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Dopaminergic Control of the Feeding Circuit
백자현 대한내분비학회 2021 Endocrinology and metabolism Vol.36 No.2
There is increasing evidence demonstrating that reward-related motivational food intake is closely connected with the brain’s homeostatic system of energy balance and that this interaction might be important in the integrative control of feeding behavior. Dopamine regulates motivational behavior, including feeding behaviors, and the dopamine reward system is recognized as the mostprominent system that controls appetite and motivational and emotional drives for food. It appears that the dopamine system exerts acritical role in the control of feeding behavior not only by the reward-related circuit, but also by contributing to the homeostatic circuit of food intake, suggesting that dopamine plays an integrative role across the converging circuitry of control of food intake bylinking energy state-associated signals to reward-related behaviors. This review will cover and discuss up-to-date findings on the dopaminergic control of food intake by both the reward-related circuit and the homeostatic hypothalamic system.
신재생에너지 예측을 위한 송전선로의 계량 데이터 계산 방법
백자현,김현진,최순호,박상호,Ja-hyun, Baek,Hyeonjin, Kim,Soonho, Choi,Sangho, Park 한국전력공사 2022 KEPCO Journal on electric power and energy Vol.8 No.2
This paper introduce Renewable Energy forecasting technology, which is a part of renewable management system. Then, calculation method of dedicated transmission line's meteorological data to forecast renewable energy is suggested. As the case of dedicated transmission line, there is only power output data combined the number of renewable plants' output that acquired from circuit breakers. So it is need to calculate meteorological data for dedicated transmission line that matched combined power output data. this paper suggests two calculation method. First method is select the plant has the largest capacity, and use it's meteorological data as line meteorological data. Second method is average with weight that given according to plants' capacity. In case study, suggested methods are applied to real data. Then use calculated data to Renewable forecasting and analyze the forecasting results.