Stock prediction is always an attractive problem.With the expansion of information sources, news-driven stock prediction based on sentiments of social media, such as sentiment polarities in financial news, becomes more and more popular.However, the distributions of news articles among different stocks are skewed, which makes stocks with few news ha
Abstract With the deepening of human research on deep space exploration, our research on the soft landing methods of landers has gradually deepened.Adding a buffer and energy-absorbing structure to the leg structure of the lander has become an effective design solution.Based on the energy-absorbing structure of the leg of the interstellar lander, t
Previous studies have shown the existence of misrepresentation regarding various religious identities in Indonesian media.Misrepresentations of other marginalized identities in natural language processing (NLP) datasets have been recorded to inflict harm against such marginalized identities in cases such as automated content moderation, and as such
It is well known that routing strategies based on global topological information is not a good choice for the enhancement of traffic throughput in large-scale networks due to the heavy communication cost.On the contrary, acquiring spatial information, such as spatial distances among nodes, is more feasible.In this paper, we propose a novel distance
Occupational injuries and professional diseases are defined by the regulations of the sections 22, 23 and 24 of the Law on Pension and Disability Insurance.The previously mentioned regulations state, among the other things, that an occupational injury is considered to be an injury which an insured person experienced on his regular route from home t