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Cross Cultural Studies in Sino-Foreign Joint Ventures
Theresa Chang, Whei-Jen 서울대학교 국제지역원 2001 Journal of International and Area Studies Vol.8 No.2
The People's Republic of China (PRC) is one of the most lucrative markets in the world. Because of the size and potential of the market, many corporations around the world have made a dash to capture a competitive advantage. In the current era of globalization, the joint venture has emerged as an increasingly useful and popular way for firms to carry out their foreign investment strategy. Joint ventures between foreign firms and local partners have been a particularly important component of the FDI(foreign direct investment) in Asia. This is because the governments of these countries have frequently provided a more favorable investment climate (e.g., in terms of regulations, approvals, licensing requirements, taxes, etc.) to foreign firms entering joint ventures with a local partner than to foreign firms attempting to establish a wholly owned foreign enterprise. The governments want part of the organization's equity, ownership and control to remain local. The foreign firm, unfamiliar with the business environment and culture of the local market, also finds the joint venture the most advantageous way to enter into a strategic alliance with a local firm who is already nestled in that market. This paper will highlight important factors and questions concerning joint venture operations and their ultimate outcomes. It will also strive to raise new questions for the future through three case studies: Beijing-Kentucky Fried Chicken (Beijing-KFC), Pacific Dunlop China, and Shanghai Volkswagen.
DeepLabV3+를 이용한 고해상도 위성영상에서의 도시 변화탐지
송창우 ( Chang-woo Song ),( Wiratama Wahyu ) 한국정보처리학회 2021 한국정보처리학회 학술대회논문집 Vol.28 No.1
본 논문에서는 고해상도의 시계열 위성영상을 딥러닝 알고리즘으로 학습하여 도시 변화탐지를 수행한다. 고해상도 위성영상을 활용한 서비스는 4 차 산업혁명 융합 신사업 중 하나인 스마트시티에 적용하여 도시 노후화, 교통 혼잡, 범죄 등 다양한 도시 문제 해결 및 효율적인 도시를 구축하는데 활용이 가능하다. 이에 본 연구에서는 도시 변화탐지를 위한 딥러닝 알고리즘으로 DeepLabV3+를 사용한다. 이는 인코더-디코더 구조로, 공간 정보를 점진적으로 회복함으로써 더욱 정확한 물체의 경계면을 찾을 수 있다. 제안하는 방법은 DeepLabV3+의 레이어와 loss function 을 수정하여 기존보다 좋은 결과를 얻었다. 객관적인 성능평가를 위해, 공개된 데이터셋 LEVIR-CD 으로 학습한 결과로 평균 IoU 는 0.87, 평균 Dice 는 0.93 을 얻었다.
Heo, Jeong,Reid, Tony,Ruo, Leyo,Breitbach, Caroline J,Rose, Steven,Bloomston, Mark,Cho, Mong,Lim, Ho Yeong,Chung, Hyun Cheol,Kim, Chang Won,Burke, James,Lencioni, Riccardo,Hickman, Theresa,Moon, Anne Nature Publishing Group, a division of Macmillan P 2013 Nature medicine Vol.19 No.3
Oncolytic viruses and active immunotherapeutics have complementary mechanisms of action (MOA) that are both self amplifying in tumors, yet the impact of dose on subject outcome is unclear. JX-594 (Pexa-Vec) is an oncolytic and immunotherapeutic vaccinia virus. To determine the optimal JX-594 dose in subjects with advanced hepatocellular carcinoma (HCC), we conducted a randomized phase 2 dose-finding trial (n = 30). Radiologists infused low- or high-dose JX-594 into liver tumors (days 1, 15 and 29); infusions resulted in acute detectable intravascular JX-594 genomes. Objective intrahepatic Modified Response Evaluation Criteria in Solid Tumors (mRECIST) (15%) and Choi (62%) response rates and intrahepatic disease control (50%) were equivalent in injected and distant noninjected tumors at both doses. JX-594 replication and granulocyte-macrophage colony-stimulating factor (GM-CSF) expression preceded the induction of anticancer immunity. In contrast to tumor response rate and immune endpoints, subject survival duration was significantly related to dose (median survival of 14.1 months compared to 6.7 months on the high and low dose, respectively; hazard ratio 0.39; P = 0.020). JX-594 demonstrated oncolytic and immunotherapy MOA, tumor responses and dose-related survival in individuals with HCC.