Results 111 to 120 of about 5,616 (261)

Development and validation of a deep survival model to predict time to seizure from routine electroencephalography

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine   +5 more
wiley   +1 more source

The Relationship between Workplace Ostracism and Employees’ Silence:Theory and Empirical [PDF]

open access: yes, 2016
在现代的职场环境中,人际交互是极为普遍的。特别是进入知识经济与服务 经济时期后,随着工作小组的普遍运用,良好的工作场所关系就变得更为重要了 (Cullen,2012)。另一方面,知识更迭以几何速度加快,员工职业技能的生命周 期不断缩短,以往在同事之间、上下级之间依据级别和工龄而获取资源的方式难 以为继。加上国内新生代员工陆续进入职场,这批员工思维活跃,自我意识强烈, 工作中敢于张扬自己的个性,同时集体观念相对淡薄,与老员工思想上行为上都 有很大不同,以上种种都为职场内人际嫌隙的发生埋下隐患 ...
杨静
core  

Ambient technology in epilepsy clinical practice

open access: yesEpilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan   +3 more
wiley   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

open access: yesEnergy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga   +3 more
wiley   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

open access: yesEnergy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi   +3 more
wiley   +1 more source

Mères fatales:maternal guilt in the noir crime novel [PDF]

open access: yes, 1999
We argue in this article that the coupling of "noir" conventions with an interest in maternal subjectivity has characterised the work of a number of female crime writers.
Horsley, Katharine, Horsley, Lee
core  

Queer configurations: The female divine, regional identity, and Queer‐religious belonging in South India

open access: yesFeminist Anthropology, EarlyView.
Abstract This article explores how queerness and religion intersect in a unique enactment of Bathukamma, a flower festival honoring the female divine in Hyderabad, the capital of the South Indian state of Telangana. Drawing on theories of figuration, I analyze how local queer organizations celebrate the festival in a way that engages two distinctive ...
Stefan Binder
wiley   +1 more source

When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley   +1 more source

An integrative systematic review of employee silence and voice in healthcare: what are we really measuring? [PDF]

open access: yesFront Psychiatry, 2023
Lainidi O   +7 more
europepmc   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

open access: yesJournal 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

Home - About - Disclaimer - Privacy