Results 181 to 190 of about 33,521 (261)
Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley +1 more source
Transportation Noise Effects on Physical and Mental Health and their Corresponding Mitigation Strategies in Europe. [PDF]
Haghbin K, Lawrence BT.
europepmc +1 more source
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li +29 more
wiley +1 more source
Exploring the relationship between traffic, speed, and personal in-vehicle noise exposure during commutes. [PDF]
Anand A, Sacco SJ, Zamora ML.
europepmc +1 more source
This letter comments on Nagumo et al.'s study evaluating 1024‐matrix reconstruction for intracranial perforating artery visualisation in 64‐slice cerebral CTA, affirming its cost‐effective value for standard CT scanners (https://doi.org/10.1002/jmrs.70055).
Yang Liu, Wei Wu
wiley +1 more source
Strain-Based Monitoring Methodology and Numerical Validation for the Evaluation of Transverse Connection Condition in Precast Multi-Girder Bridges. [PDF]
Zheng W, Wei H, Jiang J, Li W.
europepmc +1 more source
Australian radiographers report confidence in delivering high‐quality, patient‐centred care for autistic patients, supported by collegial learning and practices consistent with international evidence. While current approaches are effective, support for targeted education to enhance communication and adaptability for diverse patient needs is evident ...
Yasmina Lin +4 more
wiley +1 more source
LTiT: A Deep Learning Model for Subway Section Passenger Flow Prediction Based on LSTM-TSSA-iTransformer. [PDF]
Liu J, Chen Y, Li Y, Yu F.
europepmc +1 more source
Last‐minute coordination: Adapting to demand to support last‐mile operations
Abstract In the highly competitive e‐commerce industry, customer‐facing warehouses are crucial as the “order penetration points” for e‐commerce last‐mile operations. This research examines how warehouses use last‐minute coordination, an unstructured mechanism, to ensure sufficient inventory at the order penetration points. Previous research has focused
Kedong Chen +3 more
wiley +1 more source

