1,721,158 research outputs found
Long memory and crude oil’s price predictability
This paper discusses the usefulness of the long term memory property in price prediction. In particular, the Hurst’s exponents related to a wide set of portfolios generated by three crude oils are estimated by using the detrended fluctuation analysis. To this aim, the daily empirical data on West Texas Intermediate, Brent crude oil and Dubai crude oil for a period of more than 10 years have been considered. It is shown that specific combinations are associated to persistence/antipersistence long-run behaviors, and this highlights the presence of statistical arbitrage opportunities. Such an outcome shows that long term memory can effectively serve as price predictor
Anesthetic optimization for nonheartbeating donors
PURPOSE OF REVIEW:
One of the newest strategies to enlarge the pool of organ donors is to consider the category of donors after cardiac death rather than only after brain death. Prompt and accurate identification of potential donors and appropriate care is necessary to optimize the management of nonheartbeating donors.
RECENT FINDINGS:
Organ procurement derived from donors after cardiac death is becoming a part of the policy of major transplantation hospitals, forcing them to consider the practical interventions and ethical implications regarding this practice. Typical donors are patients affected by irreversible brain injuries, high spinal cord injury and end-stage musculoskeletal diseases. To start the process the following three conditions must be met. Withdrawal of life-sustaining therapies must be considered independently from transplantation. Withdrawal of life support requires a careful titration of the drugs controlling pain, anxiety and discomfort. Organ harvesting has to be initiated after at least 2-5 min of confirmed cardiac death.
SUMMARY:
In order to increase the number of organs available for transplantation, donation from nonheartbeating donors has been recently proposed. Identification of the key aspects of the donation after cardiac death should be fully achieved by the team involved in the transplantation program. Development of hospital policies and identification of receivers who are most likely to benefit from this strategy require further studies to assess long-term outcome and to identify ethical aspects concerning different religious and cultural backgrounds
Mechanisms and clinical consequences of acute lung injury.
.Acute respiratory distress syndrome (ARDS) was first described in 1967, and since then there have been a large number of studies addressing its pathogenesis and therapies. Despite intense research efforts, very few therapies for ARDS have been shown to be effective other than the use of lung protection strategies. The scarcity of therapeutic choices is related to the intricate pathogenesis of the syndrome and to insensitive and aspecific criteria to diagnose this profound acute respiratory failure. The aim of this paper is to summarize advances of new ARDS definitions and provide an overview of new relevant signaling pathways that mediate acute lung injury
Long memory and crude oil’s price predictability
This paper discusses the usefulness of the long term memory property in price prediction. In particular, the Hurst’s exponents related to a wide set of portfolios generated by three crude oils are estimated by using the detrended fluctuation analysis. To this aim, the daily empirical data on West Texas Intermediate, Brent crude oil and Dubai crude oil for a period of more than 10 years have been considered. It is shown that specific combinations are associated to persistence/antipersistence long-run behaviors, and this highlights the presence of statistical arbitrage opportunities. Such an outcome shows that long term memory can effectively serve as price predictor
Anesthetic optimization for nonheartbeating donors
PURPOSE OF REVIEW:
One of the newest strategies to enlarge the pool of organ donors is to consider the category of donors after cardiac death rather than only after brain death. Prompt and accurate identification of potential donors and appropriate care is necessary to optimize the management of nonheartbeating donors.
RECENT FINDINGS:
Organ procurement derived from donors after cardiac death is becoming a part of the policy of major transplantation hospitals, forcing them to consider the practical interventions and ethical implications regarding this practice. Typical donors are patients affected by irreversible brain injuries, high spinal cord injury and end-stage musculoskeletal diseases. To start the process the following three conditions must be met. Withdrawal of life-sustaining therapies must be considered independently from transplantation. Withdrawal of life support requires a careful titration of the drugs controlling pain, anxiety and discomfort. Organ harvesting has to be initiated after at least 2-5 min of confirmed cardiac death.
SUMMARY:
In order to increase the number of organs available for transplantation, donation from nonheartbeating donors has been recently proposed. Identification of the key aspects of the donation after cardiac death should be fully achieved by the team involved in the transplantation program. Development of hospital policies and identification of receivers who are most likely to benefit from this strategy require further studies to assess long-term outcome and to identify ethical aspects concerning different religious and cultural backgrounds
Investigating the diffusion of renewable energy technologies in Italy
In this paper we investigate the diffusion process of renewable energy technology in Italy
through the study and estimation of different mathematical models proposed in the literature.
Basing the estimation on historical data of the installed power, we find that the pioneer of new
product diffusion models, the Bass model, is appropriate to represent the photovoltaic technology
diffusion process, whereas after a comparison among the most important models discussed in the
literature, we conclude that the Non-Uniform Influence (NUI) model describes the wind technology
diffusion process in the most accurate way. The NUI model is also used as a prediction
instrument for the diffusion dynamics of wind technology. In fact, we fixed the level of installed
power to reach at a future data, and simulated the diffusion curve to find how many years are
needed to get to the target
Investigating the diffusion of renewable energy technologies in Italy
In this paper we investigate the diffusion process of renewable energy technology in Italy
through the study and estimation of different mathematical models proposed in the literature.
Basing the estimation on historical data of the installed power, we find that the pioneer of new
product diffusion models, the Bass model, is appropriate to represent the photovoltaic technology
diffusion process, whereas after a comparison among the most important models discussed in the
literature, we conclude that the Non-Uniform Influence (NUI) model describes the wind technology
diffusion process in the most accurate way. The NUI model is also used as a prediction
instrument for the diffusion dynamics of wind technology. In fact, we fixed the level of installed
power to reach at a future data, and simulated the diffusion curve to find how many years are
needed to get to the target
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