High Uncertainty Financing

2016 ◽  
Author(s):  
Nikolaos Georgiopoulos
Keyword(s):  
High Uncertainty

Overcoming Stereotypes

2008 ◽  
pp. 110-120 ◽  
Author(s):  
A. Yakovlev
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Pragmatic Approach ◽  
Economic Problems ◽  
Conventional View ◽  
The Government ◽  
High Uncertainty

Using the data of SU-HSU enterprises surveys and internal statistics of KPMG company the paper provides a non-conventional view on three economic problems which have recently been in the center of expert discussions in Russia: competitiveness of firms, corruption in the government and level of taxation. The paper argues the necessity of pragmatic approach to economic phenomena, especially under conditions of high uncertainty caused by the increasing global financial crisis.

Evaluation of management strategy results of laboratory studies in serum samples with hemolysis

2019 ◽  
Vol 1 (4) ◽  
pp. 43-45
Author(s):  
O. A. Klimenkova ◽  
V. P. Pashkova ◽  
T. V. Vavilova ◽  
V. S. Berestovskaya
Keyword(s):  
Management Strategy ◽  
Negative Consequences ◽  
Laboratory Studies ◽  
Serum Samples ◽  
Ongoing Debate ◽  
Clinical Interpretation ◽  
Points Of View ◽  
Test Result ◽  
High Uncertainty

There is an ongoing debate about what the laboratory should do with hemolyzed samples. Several strategies are proposed for managing the results obtained in such samples. The safest option from the analytical and clinical points of view is to perform a study of a new sample without hemolysis. Another approach is to carry out a test irregardless, but at the same time indicate a limit on the clinical interpretation of the result, by making a comment on possible hemoglobin interference. The choice of strategy should be based on a comparison of the risk of negative consequences in the absence of a test result and the likelihood of harm due to the transfer of the result with high uncertainty to the clinician.

The Limitations of Wintering Away From Customary Pastures in Relation to Dzud in Mongolia's Gobi Region

2020 ◽  
Vol 24 (1) ◽  
pp. 86-110
Author(s):  
Annika Ericksen
Keyword(s):  
Expert Knowledge ◽  
Ethnographic Research ◽  
Heavy Snowfall ◽  
Variable Environment ◽  
Migration Decisions ◽  
Complicating Factors ◽  
High Uncertainty

This article, based on ethnographic research in a Gobi district in Mongolia, focuses on herders 'wintering away' from customary winter campsites to access better pasture elsewhere. Because of the drawbacks associated with wintering at non-customary as opposed to 'home' pastures, many herders consider 'wintering away' to be a last resort. In the 2009–10 dzud (winter disaster), in Bayanlig soum, most households that wintered away were hit by unusually heavy snowfall and suffered higher livestock losses than those households that stayed at their customary campsites. While herders' migration decisions are guided by expert knowledge of the environment, complicating factors and high uncertainty can contribute to livestock losses despite their best efforts. Mobility is essential to herders' success in a variable environment, but not all forms and instances of migration are equally beneficial. This article draws on herders' accounts to explore a migration dilemma in the Gobi that may become more common.

scholarly journals Impact of digitally acquired peer diagnostic input on diagnostic confidence in outpatient cases: A pragmatic randomized trial

2020 ◽  
Author(s):  
Elaine C Khoong ◽  
Valy Fontil ◽  
Natalie A Rivadeneira ◽  
Mekhala Hoskote ◽  
Shantanu Nundy ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Randomized Trial ◽  
Odds Ratio ◽  
Primary Outcome ◽  
Mixed Effects ◽  
Regression Analyses ◽  
Diagnostic Confidence ◽  
Diagnostic Uncertainty ◽  
Intervention Impact ◽  
High Uncertainty

Abstract Objective The study sought to evaluate if peer input on outpatient cases impacted diagnostic confidence. Materials and Methods This randomized trial of a peer input intervention occurred among 28 clinicians with case-level randomization. Encounters with diagnostic uncertainty were entered onto a digital platform to collect input from ≥5 clinicians. The primary outcome was diagnostic confidence. We used mixed-effects logistic regression analyses to assess for intervention impact on diagnostic confidence. Results Among the 509 cases (255 control; 254 intervention), the intervention did not impact confidence (odds ratio [OR], 1.46; 95% confidence interval [CI], 0.999-2.12), but after adjusting for clinician and case traits, the intervention was associated with higher confidence (OR, 1.53; 95% CI, 1.01-2.32). The intervention impact was greater in cases with high uncertainty (OR, 3.23; 95% CI, 1.09- 9.52). Conclusions Peer input increased diagnostic confidence primarily in high-uncertainty cases, consistent with findings that clinicians desire input primarily in cases with continued uncertainty.

scholarly journals Safe option-critic: learning safety in the option-critic architecture

2021 ◽  
Vol 36 ◽  
Author(s):  
Arushi Jain ◽  
Khimya Khetarpal ◽  
Doina Precup
Keyword(s):  
Model Uncertainty ◽  
Gradient Algorithm ◽  
Intrinsic Variability ◽  
Expected Return ◽  
Practical Applications ◽  
Hierarchical Reinforcement Learning ◽  
Continuous State ◽  
End Conditions ◽  
Policy Gradient ◽  
High Uncertainty

Abstract Designing hierarchical reinforcement learning algorithms that exhibit safe behaviour is not only vital for practical applications but also facilitates a better understanding of an agent’s decisions. We tackle this problem in the options framework (Sutton, Precup & Singh, 1999), a particular way to specify temporally abstract actions which allow an agent to use sub-policies with start and end conditions. We consider a behaviour as safe that avoids regions of state space with high uncertainty in the outcomes of actions. We propose an optimization objective that learns safe options by encouraging the agent to visit states with higher behavioural consistency. The proposed objective results in a trade-off between maximizing the standard expected return and minimizing the effect of model uncertainty in the return. We propose a policy gradient algorithm to optimize the constrained objective function. We examine the quantitative and qualitative behaviours of the proposed approach in a tabular grid world, continuous-state puddle world, and three games from the Arcade Learning Environment: Ms. Pacman, Amidar, and Q*Bert. Our approach achieves a reduction in the variance of return, boosts performance in environments with intrinsic variability in the reward structure, and compares favourably both with primitive actions and with risk-neutral options.

scholarly journals Joint speed feedback improves myoelectric prosthesis adaptation after perturbed reaches in non amputees

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric J. Earley ◽  
Reva E. Johnson ◽  
Jonathon W. Sensinger ◽  
Levi J. Hargrove
Keyword(s):  
Sensory Feedback ◽  
Feedforward Control ◽  
Feedback System ◽  
Augmented Feedback ◽  
Myoelectric Prosthesis ◽  
Reaching Task ◽  
Prosthesis Control ◽  
High Uncertainty ◽  
Relevant Factors ◽  
Positional Control

AbstractAccurate control of human limbs involves both feedforward and feedback signals. For prosthetic arms, feedforward control is commonly accomplished by recording myoelectric signals from the residual limb to predict the user’s intent, but augmented feedback signals are not explicitly provided in commercial devices. Previous studies have demonstrated inconsistent results when artificial feedback was provided in the presence of vision; some studies showed benefits, while others did not. We hypothesized that negligible benefits in past studies may have been due to artificial feedback with low precision compared to vision, which results in heavy reliance on vision during reaching tasks. Furthermore, we anticipated more reliable benefits from artificial feedback when providing information that vision estimates with high uncertainty (e.g. joint speed). In this study, we test an artificial sensory feedback system providing joint speed information and how it impacts performance and adaptation during a hybrid positional-and-myoelectric ballistic reaching task. We found that overall reaching errors were reduced after perturbed control, but did not significantly improve steady-state reaches. Furthermore, we found that feedback about the joint speed of the myoelectric prosthesis control improved the adaptation rate of biological limb movements, which may have resulted from high prosthesis control noise and strategic overreaching with the positional control and underreaching with the myoelectric control. These results provide insights into the relevant factors influencing the improvements conferred by artificial sensory feedback.

scholarly journals Economic policy uncertainty and investment in Spain

SERIEs ◽  
2021 ◽  
Author(s):  
Daniel Dejuan-Bitria ◽  
Corinna Ghirelli
Keyword(s):  
Adverse Effect ◽  
Economic Policy ◽  
Strong Evidence ◽  
Investment Decisions ◽  
Corporate Investment ◽  
Precautionary Savings ◽  
Marginal Effect ◽  
Policy Uncertainty ◽  
Economic Policy Uncertainty ◽  
High Uncertainty

AbstractThe aim of this paper is to investigate the effect of economic policy uncertainty on firms’ investment decisions. We focus on Spain for the period 1998–2014. To measure policy-related uncertainty, we borrow the economic policy uncertainty (EPU) indicator available for this country. We find strong evidence that uncertainty reduces corporate investment. This relationship appears to be nonlinear, being the marginal effect of uncertainty attenuated toward zero during periods of high uncertainty levels. Furthermore, the heterogeneous results suggest that the adverse effect of uncertainty is particularly relevant for highly vulnerable firms. Overall, these results are consistent with the hypotheses that economic policy-related uncertainty reduces corporate investment through increases in precautionary savings or to worsening of credit conditions.

scholarly journals The Defining Characteristics of Agroecosystem Living Labs

2021 ◽  
Vol 13 (4) ◽  
pp. 1718
Author(s):  
Chris McPhee ◽  
Margaret Bancerz ◽  
Muriel Mambrini-Doudet ◽  
François Chrétien ◽  
Christian Huyghe ◽  
...  
Keyword(s):  
Food Systems ◽  
Agricultural Sector ◽  
External Factors ◽  
Social Challenges ◽  
Rural Living ◽  
Living Lab ◽  
Challenges And Opportunities ◽  
Unique Nature ◽  
Living Labs ◽  
High Uncertainty

In response to environmental, economic, and social challenges, the living labs approach to innovation is receiving increasing attention within the agricultural sector. In this paper, we propose a set of defining characteristics for an emerging type of living lab intended to increase the sustainability and resilience of agriculture and agri-food systems: the “agroecosystem living lab”. Drawing on first-hand knowledge of case studies of large initiatives from Canada and France and supported by eight other cases from the literature, we highlight the unique nature of agroecosystem living labs and their distinct challenges with respect to their aims, activities, participants, and context. In particular, these living labs are characterized by exceptionally high levels of scientific research; long innovation cycles with high uncertainty due to external factors; and the high number and diversity of stakeholders involved. Both procedurally and conceptually, we link to earlier efforts undertaken by researchers seeking to identify urban living labs and rural living labs as distinct, new types of living labs. By highlighting what makes agroecosystem living labs unique and their commonalities with other types of living labs, we hope to encourage their further study and help practitioners better understand their implementation and operational challenges and opportunities.

The Optimal Diversification Strategy in Pharmaceutical Industry: Balance-centred or Hetero-centred?

2021 ◽  
pp. 097172182110056
Author(s):  
Keungoui Kim ◽  
Junseok Hwang ◽  
Sungdo Jung ◽  
Eungdo Kim
Keyword(s):  
Business Performance ◽  
Business Environment ◽  
Product Diversification ◽  
Diversification Strategy ◽  
Firm Level ◽  
Data Set ◽  
Pharmaceutical Firms ◽  
Level Data ◽  
Market Product ◽  
High Uncertainty

Due to high uncertainty of product development and business environment, firm-level diversification has been regarded as one of the most effective methods in pharmaceutical firms. In previous study, firm-level diversification was discussed by different value chains of market, product, and technology. However, in most cases, the diversification itself was adopted in a simple manner although its property contains different aspects and the results varies depending on the diversity property of selected index. In addition, the existing approach for measuring firm’s product/market diversification using sales information distinguished by standard industry classification cannot provide direct implication as different strategies are made for market and product diversification. Therefore, this study examines the effects of firm-level diversification on business and innovation performances in pharmaceutical firms by considering (1) three diversification types: market, product, and technology, (2) clear separation between market and product diversification, and (3) two diversification perspectives: balance-centred and hetero-centred. For empirical analysis, an integrated firm-level data set combining from Medtrack, Orange Book, Compustat and Total Patent database is used. From the result, in case of market diversification, less market heterogeneity causes significant influence on business performance. For product and technology, a concentrated and greater heterogeneity of product diversification are turned out to promote business performance, while the more intensive and heterogeneous technology diversification has been shown to improve innovation performance.

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