Results 151 to 160 of about 77,641 (259)

Examining the Relationship Between Identity Disturbance, Body Image Disturbance, and Eating Disorder Symptoms in Current and Partially Recovered Anorexia Nervosa Using Structural Equation Modelling

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Theoretical models and empirical research suggest that identity plays a pivotal role in the development of anorexia nervosa (AN), however, limited research has been conducted on how identity is connected to the expression of eating disorder (ED) symptoms. One possible connecting mechanism is body image disturbance (BID). As such, the
Scarlett R. Croce, Denny Meyer, Amy C. Malcolm, Christina Ralph‐Nearman, Andrea Phillipou   +4 more
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Structural and molecular determinants of medial temporal lobe network vulnerability in aging and Alzheimer's disease. [PDF]

Alzheimers Res Ther
Saul E, Chauveau L, Landeau B, Lasserve J, Montagne B, Foyard E, Poisnel G, Chételat G, de Flores R, Medit-Ageing Research Group.   +9 more
europepmc   +1 more source

Forecasting Duration in High‐Frequency Financial Data Using a Self‐Exciting Flexible Residual Point Process

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a method for forecasting limit order book durations using a self‐exciting flexible residual point process. High‐frequency events in modern exchanges exhibit heavy‐tailed interarrival times, posing a significant challenge for accurate prediction.
Kyungsub Lee
wiley   +1 more source

Capturing affective states in everyday life - Comparing psychometric properties of two affect measures. [PDF]

Neurosci Appl
Limberger MF, Störkel LM, Hepp J, Niedtfeld I, Reichert M, Santangelo PS, Hartnagel LM, Berhe O, Meyer-Lindenberg A, Tost H, Ebner-Priemer UW.   +10 more
europepmc   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

Tail Risk Transmission in Agricultural and Energy Markets

Journal of Futures Markets, EarlyView.
ABSTRACT This paper examines downside hedging, tail diversification, and extreme tail risk transmission between crude oil and agricultural commodity futures over two decades. We develop complementary indicators of downside dependence, including sign‐switching frequency and persistence, to assess tail risk dynamics, hedging effectiveness, and associated
Emmanuel Senyo Fianu, Daniel Felix Ahelegbey, Roberto Casarin, Luigi Grossi   +3 more
wiley   +1 more source

Noninvasive prediction of TP53 mutation in prostate cancer based on advanced diffusion weighted imaging. [PDF]

Front Oncol
Chen J, Zhang HX, Cheng XW, Bian J, Huang HB, Li SY, Xiao HL, Liu DM, Zhou KP.   +8 more
europepmc   +1 more source