The robot recruits in China’s health-care system
Published in Nature
Researchers are trying to support the country’s overburdened medical sector with cutting-edge robotic technology, but progress has been slow.
Meet the engineer behind China’s first robot-run coronavirus ward
Published in Nature
Bill Huang describes how he helped to set up a medical facility staffed by robots during Wuhan’s COVID-19 outbreak.
How Facebook, Twitter and other data troves are revolutionizing social science
Published in Nature
A new breed of researcher is turning to computation to understand society — and then change it.
Microbial matters: modelling the complex web of host–microbiome interactions
Published in Nature
Computational approaches help to map the extensive biochemical chatter between bacteria and their human hosts.
Finding time for computer science in the elementary school day: a quasi-experimental study of a transdisciplinary proble...
Published in International Journal of STEM Education
BackgroundAs the number of computer science (CS) jobs become increasingly available in this country and computing skills become essential tools for managing all aspects of our personal lives, CS is quickly becoming an essential element of K-12 education and recently, there has been increased attention to bringing computer science to the elementary ...
Understanding the determinants of GIT post-adoption: perspectives from Mozambican institutions
Published in Heliyon
Geographical information technologies (GIT); institutions; Post-adoption; GIT drivers; Mozambique; Computer Science
Analysis of E-mail Account Probing Attack Based on Graph Mining
Published in Scientific Reports
E-mail has become the main carrier of spreading malicious software and been widely used for phishing, even high-level persistent threats. The e-mail accounts with high social reputation are primary targets to be attacked and utilized by attackers, suffering a lot of probing attacks for a long time. In this paper, in order to understand the probing ...
weg2vec: Event embedding for temporal networks
Published in Scientific Reports
Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics. However, conventional network embedding models are developed for static structures, commonly consider nodes only and they are seriously challenged when the network is varying in time. Temporal networks m...
P-ODN: Prototype-based Open Deep Network for Open Set Recognition
Published in Scientific Reports
Most of the existing recognition algorithms are proposed for closed set scenarios, where all categories are known beforehand. However, in practice, recognition is essentially an open set problem. There are categories we know called “knowns”, and there are more we do not know called “unknowns”. Enumerating all categories beforehand is never possible...
AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs
Published in Scientific Reports
Species living in extremely cold environments resist the freezing conditions through antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living in sub-zero temperatures, AFPs have numerous applications in different industries. They possess very small resemblance to each other and cannot be easily identified using s...
