Introduction: Analytics in Accounting and Auditing
, 2023 Big data and analytics offer new opportunities and challenges for academics and practitioners in all business disciplines including accounting and auditing.
Öhrman, Peter, +6 more
core +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Clustering Runners’ Response to Different Midsole Stack Heights: A Field Study
SensorsAdvanced footwear technology featuring stack heights higher than 30 mm has been proven to improve running economy in elite and recreational runners. While it is understood that the physiological benefit is highly individual, the individual biomechanical ...
Jannik Koegel +6 more
doaj +1 more source
Machine Learning for Data Streams
, 2018 A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.
Pfahringer, Bernhard +3 more
core +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
MethodsXElectroencephalography (EEG) data recorded during full-body movement is prone to artifacts that compromise signal quality. We introduce EEG-cleanse, a modular and fully automated preprocessing pipeline for cleaning EEG signals collected in dynamic, real ...
Carolina Rico-Olarte +2 more
doaj +1 more source
Understanding the Controlling Factors for CO2 Sequestration in Depleted Shale Reservoirs Using Data Analytics and Machine Learning. [PDF]
ACS Omega, 2022 Hassan Baabbad HK, Artun E, Kulga B.
europepmc +1 more source
Learning analytics in massively multi-user virtual environments and courses [PDF]
, 2016 There is much ongoing interest in big data and the role it can play in decision-making in diverse areas of science, commerce and entertainment. By employing a combination of modern artificial intelligence, machine learning and statistics techniques ...
Kirschner, P. A. +10 more
core +2 more sources
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research. [PDF]
Ann Oper Res, 2022 Kumar S +4 more
europepmc +1 more source