fear index
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2021 ◽  
Vol 103-B (11) ◽  
pp. 1662-1668
Author(s):  
Ameya Bhanushali ◽  
Mukai Chimutengwende-Gordon ◽  
Martin Beck ◽  
Stuart Adam Callary ◽  
Kerry Costi ◽  
...  

Aims The aims of this study were to compare clinically relevant measurements of hip dysplasia on radiographs taken in the supine and standing position, and to compare Hip2Norm software and Picture Archiving and Communication System (PACS)-derived digital radiological measurements. Methods Preoperative supine and standing radiographs of 36 consecutive patients (43 hips) who underwent periacetabular osteotomy surgery were retrospectively analyzed from a single-centre, two-surgeon cohort. Anterior coverage (AC), posterior coverage (PC), lateral centre-edge angle (LCEA), acetabular inclination (AI), sharp angle (SA), pelvic tilt (PT), retroversion index (RI), femoroepiphyseal acetabular roof (FEAR) index, femoroepiphyseal horizontal angle (FEHA), leg length discrepancy (LLD), and pelvic obliquity (PO) were analyzed using both Hip2Norm software and PACS-derived measurements where applicable. Results Analysis of supine and standing radiographs resulted in significant variation for measurements of PT (p < 0.001) and AC (p = 0.005). The variation in PT correlated with the variation in AC in a limited number of patients (R2 = 0.378; p = 0.012). Conclusion The significant variation in PT and AC between supine and standing radiographs suggests that it may benefit surgeons to have both radiographs when planning surgical correction of hip dysplasia. We also recommend using PACS-derived measurements of AI and SA due to the poor interobserver error on Hip2Norm. Cite this article: Bone Joint J 2021;103-B(11):1662–1668.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
A. Zimmerer ◽  
J. Löchel ◽  
J. Schoon ◽  
V. Janz ◽  
G. I. Wassilew

AbstractIn recent years, there has been a controversial discussion about whether borderline dysplastic hips should be treated with an arthroscopic procedure or rather with an acetabular reorientation. New research suggests that a classification into stable and unstable hips may be helpful. The aim of the study was to validate (1) the intra- and interobserver reliability of a newly defined radiographic parameter named the Gothic Arch Angle, (2) the association between the GAA and previously existing measurements used to define severity of acetabular dysplasia, and (3) the correlation between radiographic measurements of acetabular dysplasia with MRI findings previously suggestive of hip instability. We defined and validated the GAA in 10 standardized radiographs of asymptomatic hips by two observers and calculated intra- and interobserver coefficients at two individual dates. Subsequently, a consecutive series of 100 patients with dysplastic hips (LCEA < 25°, Toennis grade ≤ 1) were evaluated for signs of instability on anteroposterior (a.p.) pelvic radiographs and direct MR arthrography and were divided in two groups: stable and unstable. In these patients the LCEA, the AI, the FEAR index and the GAA were radiographically evaluated. Correlation analyses and a logistic regression analysis was performed to identify the predictive value of instability for each radiographic parameter. Cutoff probabilities analysis was performed using standard receiver operating characteristic (ROC) curves to rate the predictive efficiency value of the GAA. The GAA showed excellent inter- and intraobserver reliability. A correlation was found between GAA and FEAR index. A logistic regression analysis showed that LCEA, FEAR index and GAA are distinct predictors of instability in hip dysplasia. The GAA showed the largest area under the curve (AUC 0.96), indicating it to be the best predictor of instability with an optimal cutoff value of 90° (sensitivity, 0.95; specificity, 0.93). The GAA is a new available indicator for instability and is thus suggested to be used as a future radiographic parameter for the stability of dysplastic hips. Further studies are needed to understand how this parameter might additionally predict clinical outcome in the treatment of hip dysplasia.Level of evidence: Level III, diagnostic study.


2021 ◽  
pp. 178-199
Author(s):  
Afees A. Salisu ◽  
Lateef O. Akanni
Keyword(s):  

2021 ◽  
Vol 25 (4) ◽  
pp. 136-151
Author(s):  
A. О. Ovcharov ◽  
V. A. Matveev

The relevance of the research topic is due to the increasing role of non-traditional financial instruments that contribute to financial instability. Therefore, various indicators are required to reflect the situation in the digital financial assets market, the volatility quotes, and the level of investor confidence. The aim of the study is to develop and test on empirical data a generalized indicator of financial instability (financial fear index) in the digital financial assets market. The novelty of the research lies in the adaptation of the classic model of building the volatility index to the cryptocurrency market.The authors use statistical methods for collecting and processing data, analyzing time series, weighing, designing economic indicators. The paper summarizes the results of modern research on the correlation between digitalization and financial instability. The authors conclude that at certain short periods of 2020 the ruble-dollar volatility was comparable or even higher than the ruble-bitcoin one. In addition, there is much less fear and uncertainty in the cryptocurrency market today than there was at the end of 2018. The main result of the study is the financial fear index model based on the method of calculating the weighted average option price of the underlying asset and hedging of price risks. The model has been tested using data on the bid and ask prices of cryptocurrencies at a specific point in time. Estimates have been obtained indicating the growing instability in the digital financial asset market. The authors offer recommendations regarding the index threshold values, which indicate the level of investors’ fear.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Linda Arch

Purpose Since the global financial crisis of 2007-2009 academic research has paid considerable attention to understanding the nature of the crisis, its causes and consequences. This is not surprising given the scale and scope of the crisis. Much of this research has been undertaken within social science disciplines. At the same time, the crisis has also been the subject of fiction – novels, poetry and drama, and there is also a small body of academic scholarship on fiction relating to the crisis (and on finance in fiction more generally). The purpose of this paper is to suggest that fiction can offer a new perspective on the global financial crisis and thereby enhance our understanding of it. Design/methodology/approach This exploration draws upon three works of post-crisis fiction: the 2009 play by David Hare, The Power of Yes: A Dramatist Seeks to Understand the Financial Crisis (hereafter The Power of Yes); Other People’s Money, a novel by Justin Cartwright (2011); and Robert Harris’s novel The Fear Index also published in 2011. Its approach is based on close readings of the three texts in question. Findings Finance fiction stimulates a reconceptualization of the global financial crisis as a crisis of innovation and technological change. Originality/value This paper is a viewpoint article. The originality lies in the author’s interpretation of reading the global financial crisis through fiction.


2021 ◽  
Vol 14 (3) ◽  
pp. 114
Author(s):  
Bahram Adrangi ◽  
Arjun Chatrath ◽  
Madhuparna Kolay ◽  
Kambiz Raffiee

This study examines the reaction of the Standard and Poor’s Regional Bank Index (SPRB) to the U.S. equity market fear index (i.e., the Chicago Board of Trade Volatility Index [VIX]). The VIX is designed to perform as a leading indicator of the volatility in equity markets. However, practitioners observe many periods of divergence between the VIX and S&P 500. Our paper examines the daily data for the period of 2009 through 2019. We show that once the effects of consumer confidence and capacity utilization are accounted for, there is a negative association between the VIX and regional bank performance.


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