scholarly journals Combined microsurgical and endovascular intracranial aneurysm treatment: literature review and interdisciplinary experience with a true hybrid approach

2021 ◽  
Vol 1 ◽  
pp. 100322
Author(s):  
B. Grüter ◽  
S. Ulmer ◽  
P. Gruber ◽  
L. Remonda ◽  
S. Marbacher
Author(s):  
Emmanuel Costa ◽  
Geraldo Vaz ◽  
Patrice Finet ◽  
Pierre Goffette ◽  
Marie-Agnès Docquier ◽  
...  

Modelling ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 224-239
Author(s):  
Saeed P. Langarudi ◽  
Robert P. Sabie ◽  
Babak Bahaddin ◽  
Alexander G. Fernald

This paper explores the possibility and plausibility of developing a hybrid simulation method combining agent-based (AB) and system dynamics (SD) modeling to address the case study of produced water management (PWM). In southeastern New Mexico, the oil and gas industry generates large volumes of produced water, while at the same time, freshwater resources are scarce. Single-method models are unable to capture the dynamic impacts of PWM on the water budget at both the local and regional levels, hence the need for a more complex hybrid approach. We used the literature, information characterizing produced water in New Mexico, and our preliminary interviews with subject matter experts to develop this framework. We then conducted a systematic literature review to summarize state-of-the-art of hybrid modeling methodologies and techniques. Our research revealed that there is a small but growing volume of hybrid modeling research that could provide some foundational support for modelers interested in hybrid modeling approaches for complex natural resource management issues. We categorized these efforts into four classes based on their approaches to hybrid modeling. It appears that, among these classes, PWM requires the most sophisticated approach, indicating that PWM modelers will need to face serious challenges and break new ground in this realm.


Neurosurgery ◽  
2021 ◽  
Vol 89 (Supplement_2) ◽  
pp. S17-S17
Author(s):  
Mohamed M Salem ◽  
Krishnan Ravindran ◽  
Alejandro Enriquez-Marulanda ◽  
Luis C Ascanio ◽  
Noah Jordan ◽  
...  

2016 ◽  
Vol 7 (4) ◽  
pp. 16-26
Author(s):  
Uk Jung ◽  
Seongmin Yim ◽  
Sunguk Lim ◽  
Chongman Kim

AbstractAHP and the Kano model are such prevalent TQM tools that it may be surprising that a true hybrid decision-making model has so far eluded researchers. The quest for a hybrid approach is complicated by the differing output perspective of each model, namely discrete ranking (AHP) versus a multi-dimensional picture (Kano). This paper presents a hybrid model of AHP and Kano model, so called two-dimension AHP (2D-AHP).This paper first compares the two approaches and justifies a hybrid model based on a simple conceit drawn from the Kano perspective: given a decision hierarchy, child and parent elements can exhibit multi-dimension relationships under different circumstances. Based on this premise, the authors construct a hybrid two-dimension AHP model whereby a functional-dysfunctional question-pair technique is incorporated into a traditional AHP framework.Using the proposed hybrid model, this paper provides a practical test case of its implementation. The 2D-AHP approach revealed important evaluation variances obscured through AHP, while a survey study confirmed that the 2D-AHP approach is both feasible and preferred in some respects by respondents.Although there have been rich research efforts to combine AHP and Kano model, most of them is simply about a series of individual usage of each methodology. On the other hand, the type of hybridization between AHP and Kano model in this paper is quite unique in terms of the two dimensional perspective. The model provides a general approach with application possibilities far beyond the scope of the test case and its problem structure, and so calls for application and validation in new cases.


Health ◽  
2014 ◽  
Vol 06 (12) ◽  
pp. 1459-1466 ◽  
Author(s):  
Keiichi Tsuji ◽  
Tomohiro Aoki ◽  
Miyuki Fukuda ◽  
Kazuhiko Nozaki

Stroke ◽  
2019 ◽  
Vol 50 (Suppl_1) ◽  
Author(s):  
Tapan Mehta ◽  
Smit Patel ◽  
Shailesh Male ◽  
Andrew Zhang ◽  
Adam Khan ◽  
...  

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