Results 211 to 220 of about 43,033 (311)

The new meaning of retirement for bridge employees: Situating bridge employment through the lens of the Kaleidoscope Career Model

Human Resource Development Quarterly, Volume 36, Issue 1, Page 89-112, Spring 2025.
Abstract Retirees re‐entering the workforce, popularly termed as bridge employment, is a phenomenon that is anticipated to increase in the coming years. Though research establishes that these employees have unique aspirations and work motives (see Mazumdar et al., 2020), primary research on how the retirement transition and bridge employment shape each
Bishakha Mazumdar, Amy M. Warren, Travor C. Brown   +2 more
wiley   +1 more source

A Process Algebraic Approach to Predict and Control Uncertainty in Smart IoT Systems for Smart Cities Based on Permissible Probabilistic Equivalence. [PDF]

Sensors (Basel)
Song J, Karagiannis D, Lee M.
europepmc   +1 more source

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source

Accuracy improvement in financial sanction screening: is natural language processing the solution? [PDF]

Front Artif Intell
Kim S, Yang S.
europepmc   +1 more source

Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso

International Journal of Finance &Economics, EarlyView.
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan, Georgios Sermpinis   +4 more
wiley   +1 more source

Artificial intelligence in the diagnosis and management of gynecologic cancer

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Gynecologic cancers affect over 1.2 million women globally each year. Early diagnosis and effective treatment are essential for improving patient outcomes, yet traditional diagnostic methods often encounter limitations, particularly in low‐resource settings.
Chaiyawut Paiboonborirak, Nadeem R. Abu‐Rustum, Sarikapan Wilailak   +2 more
wiley   +1 more source

Performance Review of Meta LLaMa 3.1 in Thoracic Imaging and Diagnostics

iRADIOLOGY, EarlyView.
This study evaluates the diagnostic accuracy of the Meta LLaMa 3.1 model in thoracic imaging, highlighting its strengths and areas for improvement. It also compares open‐source and proprietary natural language processing models in healthcare, focusing on factors such as transparency and performance consistency.
Golnaz Lotfian, Keyur Parekh, Pokhraj P. Suthar   +2 more
wiley   +1 more source

Deanthropomorphising NLP: Can a language model be conscious? [PDF]

PLoS One
Shardlow M, Przybyła P.
europepmc   +1 more source