Results 31 to 40 of about 149,509 (268)

Prediction of Autonomy Loss in Alzheimer’s Disease

open access: yesForecasting, 2021
The evolution of functional autonomy loss leads to institutionalization of people affected by Alzheimer’s disease (AD), to an alteration of their quality of life and that of their caregivers.
Anne-Sophie Nicolas   +4 more
doaj   +1 more source

Nowcasting GDP: An Application to Portugal

open access: yesForecasting, 2022
Forecasting the state of an economy is important for policy makers and business leaders. When this is conducted in real-time, it is called nowcasting.
João B. Assunção   +1 more
doaj   +1 more source

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar   +7 more
wiley   +1 more source

Modelling Financial Markets during Times of Extreme Volatility: Evidence from the GameStop Short Squeeze

open access: yesForecasting, 2022
Ever since the start of the coronavirus pandemic, lockdowns to curb the spread of the virus have resulted in an increased interest of retail investors in the stock market, due to more free time, capital, and commission-free trading brokerages.
Boris Andreev   +2 more
doaj   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall   +2 more
wiley   +1 more source

The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model

open access: yesForecasting, 2021
Previous studies have shown that the treasury yield curve, T, forecasts upcoming recessions when it obtains a negative value. In this paper, we try to improve the yield curve model while keeping its parsimony. First, we show that adding the federal funds
Knut Lehre Seip, Dan Zhang
doaj   +1 more source

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo   +5 more
wiley   +1 more source

Macroeconomic Forecasts and Microeconomic Forecasters in the Survey of Professional Forecasters [PDF]

open access: yesWorking paper (Federal Reserve Bank of Philadelphia), 1997
Do professional forecasters distort their reported forecasts in a way that compromises accuracy? New research in the theory of forecasting suggests such a possibility. In a recent paper, Owen Lamont finds that forecasters in the Business Week survey make more radical forecasts as they gain experience.
openaire   +2 more sources

Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling

open access: yesForecasting, 2022
Tourism is one of the main sources of wealth for the Moroccan regions, since, in 2019, it contributed 7.1% to the total GDP. However, it is considered to be one of the sectors most vulnerable to exogenous shocks (political and social stability, currency ...
El houssin Ouassou, Hafsa Taya
doaj   +1 more source

Forecasting at Scale

open access: yesThe American Statistician, 2017
Forecasting is a common data science task that helps organizations with capacity planning, goal setting, and anomaly detection. Despite its importance, there are serious challenges associated with producing reliable and high quality forecasts — especially when there are a variety of time series and analysts with expertise in time series modeling are ...
Taylor, Sean J, Letham, Benjamin
openaire   +1 more source

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