Results 61 to 70 of about 507,108 (286)
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
The Impact of Attention to News about Tax Changes on the Stock Market
We approach to point out new direction of measurement the attention of the news related to changes in taxes by using the application Google Trends. The objective of the study is to extend literature that investigates the impact of the information’s ...
Jolana Stejskalová
doaj +1 more source
Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang +9 more
wiley +1 more source
Smart Learning of Porn Fake News in the Family-Friendly Filters
The proliferation of fake news on Facebook and Google has been a hot-button topic after the 2016 US presidential election. Fake news phenomenon is not limited in the political sphere.
Jow Meiling, Shiao Yaojung
doaj +1 more source
Google search and stock returns in emerging markets
The Fama-French model offers a framework explaining the stock return variability by capturing the size, value, profitability, and investment patterns of firms; but it fails in capturing the low average returns on small stocks. This article contributes to
Canh Phuc Nguyen +2 more
doaj +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Gold Price Forecasting: A Novel Approach Based on Text Mining and Big-Data-Driven Model
This work uses Google Trends and online text mining to test a novel approach to gold price prediction. To explain the gold price prognosis, the convolutional neural network (CNN) also uses linguistic criteria for news items about gold.
Poor Saeed Kian +2 more
doaj +1 more source
An Adaptive News Video Retrieval Framework [PDF]
The increasing popularity of video sharing platforms such as YouTube and Google Video increase the need to further study how users can be assisted in their search for videos they are interested in.
Hannah, D., Hopfgartner, F., Jose, J.M.
core
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Studying Relationship between Citation and Altmetrics of Top Chemistry Researches’ Articles [PDF]
: The main objective of the present research is to examine the relationship between the number of citations and the level of altmetrics for testing the validity of these new metrics, at least in terms of being alignment with the test established index ...
Nejad, Adel Soleimani +2 more
core +1 more source

