Energy Science &Engineering, EarlyView.ABSTRACT This study investigates low‐carbon transition pathways and carbon neutrality planning in Guangdong Province, China's largest energy consumer. Using integrated regression analysis, electricity demand is projected to increase from 850 TWh in 2023 to 1580 TWh by 2060.
Caixia Yang +6 more
wiley +1 more source
Expression and Clinical Significance of BCL2 Interacting Protein 3 Like (BNIP3L) in Serum of Patients with MM. [PDF]
Blood Lymphat CancerNong Y +11 more
europepmc +1 more source
Real‐time quality and safety monitoring of fruit juice using paper‐based platform
Food Biomacromolecules, EarlyView.Schematic illustration of a paper‐based biosensor for rapid detection of fruit juice spoilage. Abstract Food spoilage and safety concerns still remain critically challenging within the fruit juice industry, especially as conventional detection methods, though precise, are often too time‐consuming, costly, and reliant on centralized laboratories.
Priti Das +4 more
wiley +1 more source
Some Bioactive Natural Products from Diatoms: Structures, Biosyntheses, Biological Roles, and Properties: 2015-2025. [PDF]
Mar DrugsStonik VA, Stonik IV.
europepmc +1 more source
UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions
Journal of Forecasting, EarlyView.ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley +1 more source
Physical-MAC Layer Integration: A Cross-Layer Sensing Method for Mobile UHF RFID Robot Reading States Based on MLR-OLS and Random Forest. [PDF]
Sensors (Basel)Pan R +6 more
europepmc +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, EarlyView.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
Journal of Forecasting, EarlyView.ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Coherent Forecasting of Realized Volatility
Journal of Forecasting, EarlyView.ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source
External Validation of the MicroSimulation Core Obesity Model (MS-COM) to Predict Cardiovascular Outcomes, Mortality and Type 2 Diabetes Mellitus Incidence and Assess Cost Effectiveness. [PDF]
PharmacoeconomicsFawsitt CG +8 more
europepmc +1 more source