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대형마트의 의무휴업일이 주변 상권에 미친 영향 -음식점의 매출 성과를 중심으로-

김현아,서진형,조춘한,Frederic L.C. Napel,정환 한국유통물류정책학회 2022 유통물류연구 Vol.9 No.4
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본 연구는 수도권에 위치한 대규모점포인 대형마트 주변 반경 5km 내 상권을 대상으로 대형마트의 의무휴업일이 주변 음식점의 매출 성과에 미친 영향에 관해 조사하였다. 조사된 상권 내에는 복수의 대형마트와SSM이 위치하고 있으며, 수요일 또는 일요일에 의무휴무를 실시하고 있다. 2017년부터 2019년까지 2년 동안 상권 내에서 영업 중인 음식점들에 대한 일별 이용 건수, 일별 매출, 일별 이용 건당 매출 자료를 분석하였다. 분석 결과, 대형마트의 의무휴무가 주변 상권 내 음식점의 이용 건수에는 긍정적인 영향을 미치지만, 이용 건당 매출에는 오히려 부정적인 영향을 미친다는 사실을 발견하였다. 이는 음식점의 경우 대형마트에 대한 영업규제의 효과가 일부 나타날 수 있으나, 소상공인 관점에서 실질적으로 필요한 긍정적인 경제적 효과는 발생하지 않을 수 있음을 의미한다. 또한 설문조사를 통해 고객의 이용의도를 분석함으로써 유통규제 효과에 대해 조사하는 경우, 그 결과가 실제 매출에 대한 결과와는 다르게 나타날 수 있음을 보여준다. 이러한결과를 통해 본 연구는 유통규제 효과와 관련해 유의미한 학문적, 실무적 시사점을 제시하였다.
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The utility of three-dimensional models in complex microsurgical reconstruction

Adeyemi A. Ogunleye,Peter L. Deptula,Suzie M. Inchauste,Justin T. Zelones,Shannon Walters,Kyle Gifford,Chris LeCastillo,Sandy Napel,Dominik Fleischmann,Dung H. Nguyen 대한성형외과학회 2020 Archives of Plastic Surgery Vol.47 No.5
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Background Three-dimensional (3D) model printing improves visualization of anatomical structures in space compared to two-dimensional (2D) data and creates an exact model of the surgical site that can be used for reference during surgery. There is limited evidence on the effects of using 3D models in microsurgical reconstruction on improving clinical outcomes. Methods A retrospective review of patients undergoing reconstructive breast microsurgery procedures from 2017 to 2019 who received computed tomography angiography (CTA) scans only or with 3D models for preoperative surgical planning were performed. Preoperative decision- making to undergo a deep inferior epigastric perforator (DIEP) versus muscle-sparing transverse rectus abdominis myocutaneous (MS-TRAM) flap, as well as whether the decision changed during flap harvest and postoperative complications were tracked based on the preoperative imaging used. In addition, we describe three example cases showing direct application of 3D mold as an accurate model to guide intraoperative dissection in complex microsurgical reconstruction. Results Fifty-eight abdominal-based breast free-flaps performed using conventional CTA were compared with a matched cohort of 58 breast free-flaps performed with 3D model print. There was no flap loss in either group. There was a significant reduction in flap harvest time with use of 3D model (CTA vs. 3D, 117.7±14.2 minutes vs. 109.8±11.6 minutes; P=0.001). In addition, there was no change in preoperative decision on type of flap harvested in all cases in 3D print group (0%), compared with 24.1% change in conventional CTA group. Conclusions Use of 3D print model improves accuracy of preoperative planning and reduces flap harvest time with similar postoperative complications in complex microsurgical reconstruction.
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Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming

Joong-Ho Won,Yongkweon Jeon,Rosenberg, J. K.,Sungroh Yoon,Rubin, G. D.,Napel, S. IEEE 2013 IEEE transactions on visualization and computer gr Vol.19 No.1
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<P>Direct projection of 3D branching structures, such as networks of cables, blood vessels, or neurons onto a 2D image creates the illusion of intersecting structural parts and creates challenges for understanding and communication. We present a method for visualizing such structures, and demonstrate its utility in visualizing the abdominal aorta and its branches, whose tomographic images might be obtained by computed tomography or magnetic resonance angiography, in a single 2D stylistic image, without overlaps among branches. The visualization method, termed uncluttered single-image visualization (USIV), involves optimization of geometry. This paper proposes a novel optimization technique that utilizes an interesting connection of the optimization problem regarding USIV to the protein structure prediction problem. Adopting the integer linear programming-based formulation for the protein structure prediction problem, we tested the proposed technique using 30 visualizations produced from five patient scans with representative anatomical variants in the abdominal aortic vessel tree. The novel technique can exploit commodity-level parallelism, enabling use of general-purpose graphics processing unit (GPGPU) technology that yields a significant speedup. Comparison of the results with the other optimization technique previously reported elsewhere suggests that, in most aspects, the quality of the visualization is comparable to that of the previous one, with a significant gain in the computation time of the algorithm.</P>