Critical literature review on the management of intraparotid facial nerve schwannoma and proposed decision-making algorithm

2008 ◽  
Vol 266 (4) ◽  
pp. 475-479 ◽  
Author(s):  
Matteo Alicandri-Ciufelli ◽  
Daniele Marchioni ◽  
Francesco Mattioli ◽  
Margherita Trani ◽  
Livio Presutti
2020 ◽  
Vol 28 (2) ◽  
pp. 93-96
Author(s):  
Elmira Iriskulova ◽  
Tatiana Liudchyk ◽  
Ulugbek Kholtoev ◽  
Abduavaz Ganiev ◽  
Abdulla Abdikhakimov ◽  
...  

2016 ◽  
Vol 7 (3) ◽  
pp. 451 ◽  
Author(s):  
Elżbieta Pohulak-Żołędowska

The hereby article discusses the issues related to the existing or required support given by the State to enterprises in order to provide them conditions to innovate. Neoclassical economy puts an emphasis to the price mechanism as a decision making effective tool, but enterprises meet many barriers in creating and introducing innovation, like high cost, high risk or lack of demand for innovation. These phenomena tend to inhibit innovation of enterprises. This means that market is not an efficient mechanism for innovation activity of enterprises, and its imperfections provoke the State’s intervention. The goal of the article is to shape the objectives of State’s impact on decisions of innovative enterprises. Research method is the critical literature review and public data on State’s support on business R&D analysis. The research results show State’s support for both – incremental and radical innovation, which proves that innovative activity of enterprises is far from being a spontaneous, market-based process.


2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Bidhu Bhusan Mishra ◽  
Bidhu Bhusan Mishra ◽  
Bidhu Bhusan Mishra

This paper intends to explore how male consumers make their buying decision-making. It encapsulates a review of past researches that have been undertaken over so many years in this field. It connotes an answer that male shoppers are more utilitarian, instrumental shoppers looking for functional benefits of products. Though past researches somehow project male consumers to be less involved in shopping, less recreational, less information-seeking and less impulsive, yet they are reported to be highly time-energy conserving, brand conscious and also quality seekers. There are mixed findings regarding the decision-making styles of novelty fashion consciousness, confusion due to over choice, brand loyalty and value for money consciousness. This study is an important piece of information for retailers who face dilemma about the choice of strategy to be adopted while targeting male shoppers in the complex retailing scenario.


2016 ◽  
Vol 7 (3) ◽  
pp. 439 ◽  
Author(s):  
Magdalena Zajączkowska

The hereby article discusses the issues related to the existing or required support given by the State to enterprises in order to provide them conditions to innovate. Neoclassical economy puts an emphasis to the price mechanism as a decision making effective tool, but enterprises meet many barriers in creating and introducing innovation, like high cost, high risk or lack of demand for innovation. These phenomena tend to inhibit innovation of enterprises. This means that market is not an efficient mechanism for innovation activity of enterprises, and its imperfections provoke the State’s intervention. The goal of the article is to shape the objectives of State’s impact on decisions of innovative enterprises. Research method is the critical literature review and public data on State’s support on business R&D analysis. The research results show State’s support for both – incremental and radical innovation, which proves that innovative activity of enterprises is far from being a spontaneous, market-based process.


Skull Base ◽  
2007 ◽  
Vol 17 (S 1) ◽  
Author(s):  
E. Sauvaget ◽  
J. Cornelius ◽  
R. Kania ◽  
P. Herman ◽  
P. Tran Ba Huy

2020 ◽  
Vol 39 (3) ◽  
Author(s):  
Francisco S. Lozano Sánchez ◽  
Jesus García-Alonso ◽  
José A. Torres ◽  
Luis Velasco ◽  
Roberto Salvador ◽  
...  

2009 ◽  
Vol 7 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Patricia Halagao ◽  
Allyson Tintiangco-Cubales ◽  
Joan Cordova

This research study provides the first comprehensive and critical literature review of K–12 Filipina/o American curricula found in formal and informal educational settings. Thirty-three Filipina/o American curricula representing a diverse array of authors, audiences, content, and pedagogical approaches were reviewed. The authors of this study developed a “Critical Framework of Review” rooted in critical pedagogy in order to analyze the historical development of Filipina/o American curricula along with an analysis of major topics, concepts, guiding theoretical frameworks, pedagogical approaches, and outcomes. The review concludes with a discussion and summary of the overarching themes of Filipina/o curricular content, instruction, and impact gained from this study and recommendations for the application, development, distribution, and research of more Filipina/o American K–12 curriculum resources.


2020 ◽  
Author(s):  
Avishek Choudhury

UNSTRUCTURED Objective: The potential benefits of artificial intelligence based decision support system (AI-DSS) from a theoretical perspective are well documented and perceived by researchers but there is a lack of evidence showing its influence on routine clinical practice and how its perceived by care providers. Since the effectiveness of AI systems depends on data quality, implementation, and interpretation. The purpose of this literature review is to analyze the effectiveness of AI-DSS in clinical setting and understand its influence on clinician’s decision making outcome. Materials and Methods: This review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta- Analyses reporting guidelines. Literature will be identified using a multi-database search strategy developed in consultation with a librarian. The proposed screening process consists of a title and abstract scan, followed by a full-text review by two reviewers to determine the eligibility of articles. Studies outlining application of AI based decision support system in a clinical setting and its impact on clinician’s decision making, will be included. A tabular synthesis of the general study details will be provided, as well as a narrative synthesis of the extracted data, organised into themes. Studies solely reporting AI accuracy an but not implemented in a clinical setting to measure its influence on clinical decision making were excluded from further review. Results: We identified 8 eligible studies that implemented AI-DSS in a clinical setting to facilitate decisions concerning prostate cancer, post traumatic stress disorder, cardiac ailment, back pain, and others. Five (62.50%) out of 8 studies reported positive outcome of AI-DSS. Conclusion: The systematic review indicated that AI-enabled decision support systems, when implemented in a clinical setting and used by clinicians might not ensure enhanced decision making. However, there are very limited studies to confirm the claim that AI based decision support system can uplift clinicians decision making abilities.


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