Results 141 to 150 of about 83,022 (267)
Regional asymmetry in financial markets: Pricing of skewness risk in the Thai stock market. [PDF]
Huynh TT, Khoa BT.
europepmc +1 more source
ABSTRACT Following the Royal Commission into Aged Care Quality and Safety, the Australian Government set a target for no‐one under 65 years of age to be living in residential aged care (RAC) by 2025. The numbers of young people in residential aged care (YPIRAC) have significantly declined since the start of the targets.
Elroy Dearn +4 more
wiley +1 more source
Does business news sentiment matter in the energy stock market? Adopting sentiment analysis for short-term stock market prediction in the energy industry. [PDF]
Lee CY, Anderl E.
europepmc +1 more source
ABSTRACT This study employs an intersectionality‐informed latent class analysis (LCA) to examine the hidden diversity of discouraged workers in Australia. Drawing on nationally representative data from the Household, Income and Labour Dynamics in Australia Survey, we identified six empirically distinct subgroups defined by intersecting demographic and ...
Sora Lee, Woojin Kang
wiley +1 more source
Characteristics and dynamic evolution of inter-industry volatility spillovers in China's stock market. [PDF]
Xie F, Wei H.
europepmc +1 more source
Stock market forecasting research based on GA-WOA-LSTM. [PDF]
Huiyong W, Wang Z.
europepmc +1 more source
Characterizing limit order books in call auctions of a stock market. [PDF]
Nagumo S, Shimada T.
europepmc +1 more source
Ribes nigrum extract‐loaded PLGA/chitosan nanoparticles is developed as a vaginal drug delivery system for vulvovaginal candidiasis. The chitosan‐coated nanoparticles exhibit favorable physicochemical properties, strong mucoadhesion, sustained release for up to 2 weeks, excellent biocompatibility, and potent antifungal activity against Candida albicans,
Ayca Aslan Aras +6 more
wiley +1 more source
Delay, deny, and defend: Public outrage at health insurance companies and stock market debacle. [PDF]
Li C, Dutta M, Duo J, Dutta S.
europepmc +1 more source
Integrating machine learning, deep learning, and image analysis for seed species classification
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth +6 more
wiley +1 more source

