An explainable deep learning approach for stock market trend prediction. [PDF]
Muhammad D +3 more
europepmc +1 more source
Falling pupil numbers and school closures: Setting a research agenda for a new era of precarity
Abstract This paper explores the significant phenomenon of decreasing pupil numbers in England due to lower birth rates and the impact of a school closure on a school community. It then discusses how the sociology of education might research this major issue.
Eleanor Fagan, Alice Bradbury
wiley +1 more source
The impact of the Hamas-Israel conflict on the U.S. defense industry stock market return. [PDF]
Klomp J.
europepmc +1 more source
Abstract Newly established international branch campuses (IBCs) commence operations without a student body, and even after several years, many institutions fail to grow beyond 500 students. Despite having unique strategic needs, small IBCs are largely overlooked in the higher education literature.
Stephen Wilkins, Joe Hazzam
wiley +1 more source
Entropy as a Tool for the Analysis of Stock Market Efficiency During Periods of Crisis. [PDF]
Papla D, Siedlecki R.
europepmc +1 more source
A Century of Learning: The Story of ESA's Education Committee, 1918–2025
Abstract The Education Committee and its precursors have been highly influential within the Ecological Society of America. Here we document the Education Committee's history, from its origins in reviewing curricular materials through major contributions to ecological literacy, teaching innovation, diversity initiatives, and professional development ...
Kenneth M. Klemow +6 more
wiley +1 more source
Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism. [PDF]
Thach TT.
europepmc +1 more source
Market Linkage of Indian Stock Market with Select Stock Markets
openaire +1 more source
ABSTRACT The biopharmaceutical industry increasingly relies on single‐use technologies (SUT) for operational flexibility. For a long time, SUT was considered more sustainable than stainless‐steel (SST) systems due to water and energy savings. This study re‐evaluates this paradigm via a detailed bottom‐up analysis of the SUT carbon footprint at the 2000
Jan Reiners +4 more
wiley +1 more source
Predicting stock returns using machine learning combined with data envelopment analysis and automatic feature engineering: A case study on the Vietnamese stock market. [PDF]
Thanh Nhon H, Do-Thi N, Nguyen-Trang T.
europepmc +1 more source

