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9 results on '"Zhou, Haolan"'

8. Acute total occlusion of left circumflex artery in a patient with dextrocardia and situs inversus

Author

Huang, Yuanqing, Zhou, Haolan, and Wu, Longfei

Abstract

We herein present a case of acute left circumflex artery (LCx) occlusion associated with dextrocardia and situs inversus that was successfully treated with drug-eluting stent implantation. The patient was initially diagnosed with non-ST-segment elevation myocardial infarction (NSTEMI) based on an early electrocardiogram. However, coronary angiography demonstrated total occlusion of the LCx. A drug-eluting stent was implanted to cover the culprit lesion, and the coronary flow was completely restored. After the angioplasty, we recorded an electrocardiogram with the lateral leads placed on the right posterior thoracic wall (V7, V8, V9), and subtle ST-segment elevation was revealed in these leads. ST-segment elevation myocardial infarction (STEMI) was subsequently confirmed, and the patient recovered uneventfully. Our case emphasizes the importance of a comprehensive understanding of the electrocardiogram to detect LCx-related acute myocardial infarction in select patients such as those with dextrocardia, in whom the entire clinical situation may look much more complicated. Our experience also demonstrates that treatment with percutaneous coronary intervention is an effective therapeutic option to improve the prognosis of LCx-related acute myocardial infarction in patients with dextrocardia.

Published
2024
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9. A permutation-combination heuristics for crane-based automated storage and retrieval systems considering order fulfillment time and energy consumption.

Author

Zhou H, Chen G, Lu Y, Cheng X, and Xin H

Abstract

An automated storage and retrieval system (AS/RS) is a key component of enterprise logistics. Its performance metrics include, e.g., order fulfillment time and energy consumption. A crane-based automated storage and retrieval system (CB-AS/RS) is used as the study subject in this paper to build a location allocation model with the goal of minimizing order fulfillment time and minimizing energy consumption. The two-objective problem is transformed into a single-objective problem by the weight method. A genetic algorithm (GA) is used to optimize and simulate the model using spatial mapping coding. A permutation-combination heuristics (PCH) is proposed that follows the coding method and cross-operation of the GA and conducts both arrange-operation and change-operation. During the simulation, the influence of different storage utilization rates and different output and input instruction quantities in a batch of orders on the results is considered. Experimental results show that the results of the PCH algorithm are better than the GA and the optimization results are more stable. In this paper, we provide an optimization idea for the CB-AS/RS researchers and managers.

Published
2024
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